Supply chain management is a complex web of processes that involve the seamless coordination of procurement, production, distribution, and more. Among these, inventory management stands out as a pivotal aspect that can make or break the entire system. 

Maintaining control over inventory is like keeping a careful eye on the pieces of a chessboard. Every move counts, and any miscalculation can have far-reaching consequences. Imagine trying to play chess without knowing the current position of your pieces or your opponent’s – chaos would ensue. 

In this blog, we delve into the common challenges faced in supply chain management concerning inventory control and explore the merits of building a custom inventory tracking system to address these issues.

Diving into the Nuts and Bolts: Common Inventory Management Challenges

1. Running Out and Piling Up: The absence of real-time tracking often leads to discrepancies between recorded and actual stock levels. This discrepancy can result in stockouts or overstock situations. Have you ever reached for your favorite snack only to find an empty bag? That’s what a stockout feels like for businesses – missed sales and disappointed customers. On the flip side, having too much inventory is like buying more snacks than you can eat – it leads to unnecessary costs and storage challenges.

2. Data Silos: Traditional inventory systems are often isolated, creating data silos that hinder communication and collaboration across different departments. This lack of cohesion can lead to inefficiencies and errors.

3. Forecasting Difficulties: Accurate demand forecasting is challenging without real-time insights. Businesses often struggle to predict market trends and consumer demands, leading to suboptimal inventory levels and increased holding costs.

4. Manual Processes: Relying on manual processes for inventory management is not only time-consuming but also prone to errors. It is like trying to juggle a dozen eggs without a basket. This can result in discrepancies between recorded and actual inventory levels, leading to operational inefficiencies.

5. Lack of Scalability: Many off-the-shelf inventory management solutions may lack the flexibility needed to adapt to the unique demands of a growing business. This lack of scalability can hinder long-term success.

How Can an Inventory Tracking System Help?

A custom inventory tracking system serves as a key strategic tool, providing businesses with a competitive edge in managing inventory complexities. Let’s now explore the concrete benefits of implementing such a system and its targeted solutions to common supply chain challenges.

1. Real-time Visibility:

An effective inventory tracking system grants you real-time visibility into your stock levels. This transparency enables timely decision-making, reducing the risk of stockouts or overstock situations. By knowing exactly what is in your inventory at any given moment, you can optimize stocking levels and respond swiftly to changes in demand.

Read more: AI in Supply Chain and Logistics

2. Cost Savings:

A well-designed tracking system allows you to minimize carrying costs by preventing excess inventory buildup. By optimizing stock levels and improving order accuracy, you can reduce holding costs, warehouse space requirements, and the costs associated with expedited shipping due to stockouts.

3. Enhanced Accuracy:

Manual tracking methods are prone to errors, leading to discrepancies in stock levels and financial records. An automated inventory tracking system eliminates human errors, ensuring accuracy in your records. This not only improves financial reporting but also builds trust with your customers and stakeholders.

4. Efficient Order Fulfillment:

An inventory tracking system streamlines the order fulfillment process by providing insights into available stock, order status, and delivery timelines. This efficiency contributes to a positive customer experience and strengthens your business reputation.

Read more: Warehouse Management System: Business Applications and Case Studies.

Challenges Addressed by a Custom Inventory Tracking System

1. Stockouts and Overstock Situations

Challenge: Unplanned stockouts or excessive inventory can cripple operations and strain relationships with clients.

Solution: Real-time visibility allows for proactive inventory management, preventing stockouts and overstock situations. The system sends alerts when stock levels approach predefined thresholds, empowering you to take preventive action.

2. Manual Errors in Tracking:

Challenge: Manual tracking methods are prone to human errors, leading to discrepancies in records and financial reporting.

Solution: Automation eradicates the potential for errors, ensuring accuracy in tracking and reporting. This not only saves time spent on rectifying mistakes but also builds trust with stakeholders.

3. Inefficient Order Fulfillment:

Challenge: Slow and inaccurate order fulfillment can result in dissatisfied customers and harm your brand reputation.

Solution: An inventory tracking system provides real-time insights into stock levels, enabling efficient order processing. This leads to faster order fulfillment, improved customer satisfaction, and a competitive edge.

4. Lack of Data-Driven Decision Making:

Challenge: Without real-time data, decision-makers are forced to rely on intuition rather than insights.

Solution: The system’s data analytics capabilities empower decision-makers with actionable insights. This data-driven approach facilitates strategic decision-making and allows for quicker adaptations to market changes.

The Case for Custom Inventory Tracking 

In supply chain management, precision and efficiency are vital for success. Off-the-shelf solutions may appear attractive, but investing in a custom inventory tracking system is a strategic imperative. Here’s why:

1. Precision Aligned with Your Unique Needs: Off-the-shelf solutions lack specificity, designed for a broad audience. A custom system is tailored to your unique operations, ensuring seamless alignment with your processes, from order fulfillment to warehouse management.

2. Real-Time Adaptability: Custom solutions offer real-time adaptability to changing market conditions, technological advancements, and industry standards. This agility ensures you stay ahead without being confined by pre-set functionalities.

3. Cost-Effective Scalability: Off-the-shelf solutions often come with unnecessary features or limitations, hindering growth. Custom inventory tracking systems offer scalable, cost-effective solutions, allowing you to expand or modify functionalities without unnecessary overheads as your business evolves.

4. Seamless Integration: A custom solution ensures seamless integration with your existing suite of tools, from ERP to CRM systems. This creates a unified ecosystem, optimizing workflow, enhancing data accuracy, and improving overall operational efficiency.

Read more: Understanding The Types Of Warehouse Management Systems

5. Enhanced Security: Generic systems employ a one-size-fits-all security approach, leaving businesses vulnerable. A custom inventory tracking system enables personalized security measures, safeguarding sensitive data and mitigating risks specific to your industry and operations.

6. Maximized User Adoption: The effectiveness of a system hinges on its user adoption rate. Custom solutions prioritize user experience, aligning interfaces with your team’s familiarity. This minimizes training requirements, facilitating a smooth transition and maximizing the efficiency of your inventory management system.

7. Tailored Reporting for Decision-Making: Unlike pre-packaged systems, a custom inventory tracking system allows you to tailor reporting functionalities. It ensures the data you receive is not just comprehensive but directly aligns with your business goals, providing precise insights for strategic decision-making.

Take Your Logistics Game To The Next Level

Elevate Your Supply Chain with Fingent’s Custom Inventory Tracking Solutions

At Fingent, we’re your dedicated partner for supply chain excellence, specializing in crafting tailored inventory tracking systems. Our solutions seamlessly adapt in real-time, ensuring agility in dynamic market landscapes. With a focus on scalability without unnecessary costs, we seamlessly integrate with your systems for enhanced efficiency. Leverage our expertise in custom reporting for actionable insights, backed by a proven track record in diverse industries. Partner with Fingent for precise, adaptable, and scalable supply chain solutions.

Get in touch with us, and let’s talk. 

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    About the Author

    ...
    Tony Joseph

    Tony believes in building technology around processes, rather than building processes around technology. He specializes in custom software development, especially in analyzing processes, refining it and then building technology around it.He works with clients on a daily basis to understand and analyze their operational structure, discover (and not invent) key improvement areas and come up with technology solutions to deliver an efficient process.

    Talk To Our Experts

      Artificial Intelligence (AI) evolved from a concept of science fiction to a transformative force that permeates our daily lives. From autonomous vehicles to voice assistants, AI has already made significant inroads in various sectors.

      However, one area that stands to gain immensely from AI’s potential is the supply chain. As the backbone of global trade, the supply chain encompasses complex networks and intricate logistics. It is an ecosystem where efficiency, accuracy, and agility can make or break success.

      With its vast array of applications, AI has the potential to streamline operations, enhance decision-making, and unlock untapped opportunities. In this journey through AI’s rising capabilities, we will delve into real-world use cases that demonstrate how AI is revolutionizing the supply chain. Furthermore, we will also explore the specific benefits that AI brings to the supply chain domain.

      Role Of AI Optimizing the Supply Chain

      Every business owner dreams of a supply chain that is finely tuned, seamlessly efficient, and adaptive to every twist and turn of the market. A business where warehouses run like clockwork, shipments arrive precisely on time, and customer demands are anticipated with uncanny accuracy is not a far-fetched dream; it’s a reality being shaped by the game-changing role of Artificial Intelligence (AI) in optimizing supply chain operations.

      At the heart of AI’s transformative influence are three key components that work in harmony to revolutionize the supply chain landscape. Let’s uncover their captivating role in reshaping the future of supply chains.

      • Machine Learning and Predictive Analytics: Machine learning and predictive analytics in the supply chain are like having a trusted, experienced mentor by your side, whispering valuable insights and guidance into your ear. Machine learning algorithms analyze vast amounts of historical data to uncover patterns, trends, and potential pitfalls. 
      • Natural Language Processing and Chatbots: Natural Language Processing (NLP) allows you to simply ask a question about your supply chain and receive instant, accurate answers. With a chatbot available 24/7, customers can get instant responses, while supply chain teams can focus on strategic decision-making.
      • Robotics and Automation: Robots, equipped with advanced sensors and AI algorithms, can perform repetitive tasks with unmatched precision and speed. From inventory management to order fulfillment, these tireless machines streamline operations, reduce errors, and enhance efficiency.

      How AI Solves Supply Chain Challenges

      The world of supply chain management is like a complex maze with numerous challenges at every turn. Thankfully, AI emerges as the trusty guide, equipped with the tools to solve some of the most daunting hurdles. Here are some for your reference: 

      1. Demand Forecasting and Inventory Optimization: This AI-powered assistant acts as your supply chain ‘savant,’ it understands your historical consumption patterns, market trends, and even factors like seasonality or promotional events. 

      2. Supplier Selection and Relationship Management: Choosing the right suppliers and maintaining strong relationships is like finding the perfect dance partner. AI steps in as a knowledgeable matchmaker. By analyzing vast amounts of supplier data, performance metrics, AI algorithms can assess and rank potential suppliers based on criteria such as reliability, quality, and cost. 

      3. Warehouse and Inventory Management: AI acts as a vigilant warehouse manager, optimizing layout, guiding picking and packing processes, and even predicting optimal storage locations. With AI-powered systems, warehouses can maximize space utilization, minimize errors, and accelerate order fulfillment, resulting in streamlined operations and satisfied customers.

      4. Transportation and Logistics Optimization: AI takes on the role of coordinator who has a bird’s-eye view of the entire transportation network, utilizing algorithms to analyze real-time data on factors like traffic, weather conditions, and delivery constraints. By optimizing routes, load planning, and vehicle assignments, AI enables efficient transportation management.

      5. Quality Control and Defect Detection: Think of a diligent quality inspector who never misses a flaw in a product. AI becomes this meticulous inspector, utilizing computer vision and machine learning algorithms to analyze visual data and detect defects with remarkable accuracy. 

      6. Risk Management and Supply Chain Resilience: AI plays this vital role just like a risk management expert. It analyzes a wide range of data sources to identify potential risks and vulnerabilities, ensuring supply chain resilience in the face of uncertainties.

      7. Customer Service and Satisfaction Enhancement: AI takes on the role of a customer service representative who can swiftly address customer inquiries, provide accurate information, and resolve issues with ease. AI-powered customer service tools offer instant responses, personalized recommendations, and seamless assistance, enhancing customer satisfaction and loyalty.

      Watch: Artificial Intelligence – how to navigate AI if you are not a tech company.

      Remarkable Real-world examples of AI in the Supply Chain

      AI transforms supply chain management like never before. Don’t take our word for it. See it in action as implemented by big players in the industry:

      Use Case 1: Precision Prediction by Amazon

      Problem: Traditional demand forecasting and inventory management methods often struggle to predict customer demands and optimize inventory levels in real-time accurately.

      Solution: To address this challenge, Amazon has harnessed the power of AI algorithms to revolutionize demand forecasting and inventory management. By analyzing vast amounts of customer data, historical sales patterns, and even external factors like weather forecasts, AI algorithms can accurately predict demand with remarkable precision.

      This AI-driven approach allows Amazon to optimize inventory levels, ensuring that popular products are readily available while minimizing excess inventory and reducing the risk of stockouts. By aligning supply with demand, Amazon is able to enhance customer satisfaction and maintain a competitive edge in the dynamic e-commerce landscape.

      Use Case 2: Substitution Solution by Walmart

      Problem: In online grocery shopping, customers often encounter situations where certain items they ordered are out of stock. This can lead to dissatisfaction and inconvenience, as customers may have to manually search for suitable substitutes or go without the desired product.

      Solution: To address this issue, Walmart has implemented an AI-driven product substitution system. Using advanced algorithms, the system analyzes product attributes, customer preferences, and available inventory data to suggest suitable substitutions for out-of-stock items.

      When an ordered item is unavailable, the AI system automatically identifies the best possible substitute based on factors such as brand, size, price, and customer feedback. It takes into account the customer’s past purchase history and preferences to make personalized recommendations. The system provides clear and transparent information to customers, ensuring they are aware of the substitution and have the option to accept or reject it.

      Use Case 3: Real-Time Routing by UPS

      Problem: Traditional route planning methods often struggle to optimize delivery routes efficiently, resulting in inefficient use of time, resources, and fuel.

      Solution: UPS leverages AI algorithms for route optimization, enabling them to analyze real-time data on factors such as traffic patterns, delivery constraints, and even weather conditions. By considering these variables, UPS can generate optimal delivery routes that minimize distances, reduce fuel consumption, and optimize delivery time.

      Through the implementation of AI in its logistics operations, UPS achieves significant cost savings, improves delivery efficiency, and reduces its carbon footprint. This AI-driven approach allows UPS to stay ahead of the competition and provide exceptional service to its customers.

      Use Case 4: Valuable Vending by  Coco-Cola

      Problem: Traditional vending machines often lack the ability to gather real-time data on customer behavior and gauge the effectiveness of different brands and product offerings. 

      Solution: To overcome these limitations, Coca-Cola has implemented AI-enabled next-gen vending machines. These machines are equipped with advanced sensors, cameras, and AI algorithms that gather real-time data on customer behavior, purchasing patterns, and brand preferences.

      With this newfound understanding, Coca-Cola can optimize product placements, tailor offerings to specific locations, and develop targeted marketing campaigns. Furthermore, the AI-enabled vending machines also allow Coca-Cola to remotely monitor inventory levels, predict demand patterns, and optimize restocking schedules. This ensures that the vending machines are always well-stocked with popular products, reducing the likelihood of stockouts and maximizing sales opportunities.

      Use Case 5: Wonder Warehouses by Alibaba

      Problem: Traditional warehouse management practices often face challenges related to inefficient storage utilization, suboptimal picking processes, and delays in order fulfillment.

      Solution: Alibaba has embraced AI technology to develop smart warehouses that leverage automation, robotics, and AI algorithms. These AI-enabled warehouses optimize storage utilization, streamline picking and packing processes, and enable efficient order fulfillment.

      Through the integration of AI, Alibaba achieves faster and more accurate inventory management, enhances warehouse operations, and improves overall efficiency in its supply chain. This innovative use of AI allows Alibaba to meet the demands of the e-commerce market and deliver exceptional service to its customers.

      Checkout out our Infographic: Successful Logistics and Warehouse Management Practices.

      supply chain

      Solid Supply Chain Solution with AI by Fingent

      Advancements in AI technologies continue to shape the supply chain landscape, with machine learning algorithms becoming more sophisticated, natural language processing capabilities evolving, and robotics and automation becoming increasingly intelligent and adaptable. These advancements enable businesses to make data-driven decisions, automate repetitive tasks, and optimize operations like never before.

      At Fingent, we understand the immense potential of AI in supply chain management and are committed to helping businesses harness its power. Our expertise lies in developing innovative AI solutions tailored to specific industry needs, integrating AI with emerging technologies, and driving digital transformation in the supply chain.

      Whether it’s building intelligent forecasting models, implementing AI-powered automation, or leveraging AI-driven analytics, Fingent is dedicated to empowering organizations to thrive in the AI-driven supply chain landscape.

      Businesses that embrace its potential will gain a significant competitive advantage. By leveraging AI technologies, integrating with emerging technologies, and partnering with experienced custom software solution providers like Fingent, organizations can unlock new frontiers of efficiency, innovation, and success in the dynamic world of supply chain management.

      Reach out to us to get the best supply solution for your business. 

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        About the Author

        ...
        Tony Joseph

        Tony believes in building technology around processes, rather than building processes around technology. He specializes in custom software development, especially in analyzing processes, refining it and then building technology around it.He works with clients on a daily basis to understand and analyze their operational structure, discover (and not invent) key improvement areas and come up with technology solutions to deliver an efficient process.

        Talk To Our Experts

          The onset of globalization has encouraged business operations on an international scale. It offers companies the opportunity to reach new customers in new markets. Exposure to unknown markets and sometimes even known markets can expose businesses to greater competition and greater risk. However, efficient management of the supply chain can do away with many of these risks and put you on the path to success. 

          The challenges in the supply chain can include being unsure of the reliability of your suppliers, and their quality, cost, lead time, lot size, and more. Your business will surely profit if you had a way to monitor your supplies and the risks to your business.

          Yes, clear visibility is crucial.    

          This is where custom software can benefit your business!

          Custom software equips you with a way to collect, organize, and monitor the supplier-related information that is most meaningful to your business. This blog discusses which functions of the supply chain can be better managed with custom software and also talks about the benefits this can bring to your business.

          Why Is Customized Supply Chain Management Software Important?

          Efficient management of the supply chain depends primarily on data gathered at each stage of the supply chain process. The success of the business hinges on the way companies use those insights to make decisions that optimize demand, supply, inventory, and deliveries. 

          That is why custom software is essential to managing the supply chain. Custom software can enable organizations to make better use of their data as it gives structure to the information already in their possession. 

          Through the use of custom software solutions, companies can identify faults in their supply chain process. Such visibility can help them make better inventory decisions or inform their customers of the shipping status for their confirmed orders. 

          Essentially, custom software is instrumental in improving business operations and relationships with both customers and suppliers. 

          Read more: Build or Buy Logistic Software: An End To The Prolonged Discussion 

          Manage Key Supply Chain Functions with Custom Software

          Every business is unique in its functions. A software can address the specific company challenges only when customized and tailor-built after crucially analyzing the workflows and industry pain points.  Here are a few to look into.

          • Raw material acquisition: Supply chain management is a journey, and purchasing is at the beginning of that journey. Purchasing includes sourcing raw materials and other resources. Custom software enables smooth coordination with suppliers to deliver the material without any delays requires.
          • Planning and forecasting: The operations team must anticipate the possible market demand and the number of units for production. Over-anticipated demand can result in excess inventory costs. If it is underestimated, then the company will not be able to meet its customer demand and thus lose revenue. Custom solutions for planning and forecasting can help the operations team to anticipate demands more accurately. 
          • Warehouse arrangement: Supply chain management requires warehouse arrangements till it is shipped for delivery. If the products are delivered outside the country or state limits, there will also be a need for outstation warehouses. Custom software can optimize logistics to reach end-point delivery without any glitches. 

          Advantages Of Custom Software in Supply Chain Management

          1. Increased transparency throughout the supply chain

          Knowing exactly where your item is at any given time is important for all businesses as it allows you to sell the item before it even reaches your warehouse. Custom software can help you sell this way because it can pinpoint the exact location of your item and the time that it will reach your warehouse. 

          This will allow you to provide a guarantee to your customer that he will receive the product he purchased. Streamlining the supply chain will help achieve faster response times and increase customer loyalty. 

          2. Efficient inventory management

          With the help of custom software, you can sell your item while it is on the move or as it is in the making. It can help you estimate how many items you must produce, eliminating excessive production.

          3. Supplier management 

          You can keep a good relationship with your suppliers with custom software. Real-time data will allow you to know if you are running out of stock or if your tools and equipment need repair or replacement. This data will help you contact your suppliers immediately and thus minimize any potential delays. 

          You will also have details such as account receivables and other information at your fingertips when dealing with your suppliers. This will ensure that you are up to date with payments and discounts. As a result, you notice that your communication and cooperation with dealers and vendors improve considerably. 

          4. Streamline Processes

          Custom software will create highly streamlined processes for supply chain management, especially for businesses that operate from different locations across the globe.

          Fully customized software enables companies to accumulate all business data in one centralized location. Employees greatly benefit from this as they can now gain access to the latest versions of data, even if they are accessing it from multiple locations or branches. 

          5. Un-bottleneck your supply chain

          Bottlenecks in the supply chain are a direct result of the ineffective system in place that does not allow teams in different locations to communicate and align statuses to fulfill overall objectives. Companies that experience such bottlenecks miss opportunities and lose customers because they are unable to provide what their customers want. 

          An unsatisfied customer walks out on you and straight into the open arms of your competition. If you are beginning to notice lower satisfaction rates, numerous complaints, or bad reviews from the customers, it is time to explore custom software that can give you a business-targeted approach to customer experience. 

          When a business looks to meet or exceed customer demands, they have to rely heavily on its supply chain. Internal bottlenecks can slow down the entire process and risk order fulfillment. To prevent such bottlenecks, a business must understand what causes them and how to prevent them. 

          Custom software can help a business identify such bottlenecks and thus help efficiently manage the supply chain.

          Save Money, Time, and Your Business!

          It is clear that custom software comes with many benefits. It is also obvious that it saves money with time. While off-the-shelf software may come with a lower initial cost, investing in custom software will give more benefits to the supply chain management cycle. It improves sales functions and boosts productivity.

          Custom software that is fully optimized to the supply chain will improve business function in a way no off-the-shelf software can. Fully optimizing the supply chain process can be lean and seamless through the use of custom software. If the business growth process is left unchecked by the off-the-shelf software solutions it can become highly chaotic. Custom software gives companies a higher level of control over all supply chain operations while taking control over the growth process.

          A company that is digitally driven by custom software automatically enables a more proactive and open business. If this is what you want for your business, give us a call.

          Our experts at Fingent thrive on creating custom solutions for our clients. They will be happy to talk through the game plan with you and show you how your business can excel with custom software for your supply chain. 

          Stay up to date on what's new

            About the Author

            ...
            Tony Joseph

            Tony believes in building technology around processes, rather than building processes around technology. He specializes in custom software development, especially in analyzing processes, refining it and then building technology around it.He works with clients on a daily basis to understand and analyze their operational structure, discover (and not invent) key improvement areas and come up with technology solutions to deliver an efficient process.

            Talk To Our Experts

              Logistics Management Software:
              Business Applications & Use Cases

              Pfizer became the world’s largest sterile injectables supplier during the pandemic because the company excels in its logistics management. Without logistics software management, neither can they store, transport, and distribute the COVID-19 vaccine to multiple countries, maintaining ultra-low temperatures.
              In today’s fast-paced environment with growing transport volumes, logistic management software play a key role in digitizing every touchpoint of the supply chain- monitor shipments, optimize delivery routes, communicate with partners, handle a gamut of operations, and oversee distribution with complete transparency. Investing in logistic management software streamlines your processes and eliminates workflow headaches, yielding positive results with significant changes in processes, procedures, and distribution.
              In this article, we will cover everything that you need to know about logistics management software.

              What is Logistics Management Software?

              Logistics management is a part of the supply chain that uses planning and implementation to store and deliver goods and services to the customer. Typically a logistics management system administers inbound and outbound transportation management, warehouse management, fleet management, processing orders, inventory control, managing third-party logistics service providers, and planning supply and demand. It coordinates several critical activities of the supply chain that range from product development to commercialization, such as production planning, sourcing, procurement, packaging, and dispatching. It also involves finding a suitable means to deliver goods and services to the end user.
              Logistics Management Software (LMS) simplifies logistics operations by refining the production cycle and making it easier to access important information quickly. Logistics management software helps businesses manage the various processes in the production cycle, from delivering raw materials to shipping the finished products to the consumers.
              Logistics Management Software Market has witnessed tremendous growth in USD million from 2017 to 2022, with the highest CAGR estimated to reach USD in 2029.
              Source: Industry Research
              Logistics software has become broader in its scope and functionality to deal with a vast array of operations and processes. It shares similarities with supply chain management software (SCMS), which contains tools that help deal with transactions, processes, and suppliers. The functionality of logistics management software extends to areas such as
              Logistics management software can get rid of all the conventional approaches like paperwork and spreadsheets to simplify management. Consequently, logistics will become more refined and fast, changing how materials, goods, freight, sales orders, inventory, and production are managed. It has three variations: warehouse management systems, enterprise resource planning systems, and integrated supply chain management suites.
              Companies with an in-house logistics or supply chain division and third-party logistics providers utilize any of these different versions according to their requirements to efficiently manage their logistical and supply chain operations.

              Key Features of Logistics Management Software

              A logistic and supply management company must have powerful and functional management software to manage its operations, planning, procurement, and distribution of products, data information, and finances. If your company is looking to procure or build a logistic management solution, ensure it includes certain features necessary for the smooth functioning of shipment. Some of the key must-have features of Logistics Management Software include-
              An order management system effectively handles large volumes of online orders. It monitors and tracks all the orders from the time of placing an order till it reaches the delivery point. It manages all the processes like order receiving, scheduling, processing, storage, and shipping and delivery. Some features like automatic scheduling, real-time optimization and tracking, automatic bill generation, managing order status, and multiple payment gateways simplify the order management process for businesses.
              CRM modules store relevant information from customer orders, such as order dates, contact information, cargo status, order estimation, and payment information. This ensures that every transaction is recorded in one place to help logistics managers easily control the flow of inventory and easily look up the associated records whenever needed.
              With proper inventory management, organizations can easily monitor active orders, track shipments, and reorder supplies with real-time sales data and historical trend analysis. Logistics management organizes, tracks, and processes orders as they come in, thereby saving the organization’s time and money by automatically fulfilling orders as they come in and reducing the risk of order errors or fraud.
              Warehouse management helps the owners and managers to monitor their physical warehouses in real time. It uses IoT devices, sensors, and smart storage tools to maintain optimal conditions for the storage and distribution of inventory with minimal human intervention. This translates to faster shipping, lower cost, optimized storage, tracking, and order fulfillment.
              Efficient supply chain management helps to maximize customer value, increase profitability, and achieve sustainable competitive advantage. It manages the transformation of goods from raw materials to finished goods and links the production, shipment, and delivery of goods. The activities involved include discovering optimal sourcing locations, determining the optimal quantity and type of inventory required to meet demand, and identifying the best delivery locations for the products.
              The demand forecasting feature helps organizations to plan inventory and supply based on the increase and decrease in demand. Demand planning tools help analyze a product’s lifecycle based on historical sales data, identify trends, and predict future demand. This feature helps to avoid ordering too much or too little inventory.
              Transportation management capabilities help businesses to plan, execute, and optimize the physical transportation of finished products from warehouses to customers. It helps fleet managers to identify optimal delivery routes, streamline driver assignments, and speed up pickup and delivery operations, thereby minimizing costs. It also helps to predict when their delivery times will be the longest and shortest.
              Modern logistics management software includes a real-time visibility feature to obtain the status of every product and shipment in the supply chain. This allows managers to access real-time information about the location and progress in every stage of the supply chain, helping them make informed decisions about when to order more inventory and stop production.

              Business Benefits of Using Logistics Software

              Proper planning, sourcing, production, delivery, and return are required to improve supply chain performance. Handing these processes to logistics management software provides operational fluency to the supply chain. With logistics management software, a company or 3PL (third-party logistics) provider can avail of the following benefits.

              Refine Transportation

              Transportation is a crucial and vital area in logistics management. It incurs the most fuel, labor, energy, and shipping charges. Using logistics software helps to simplify and reduce the cost incurred in transportation considerably. Logistics management software makes it easy to analyze data and make relevant decisions for lowering costs and maximizing efficiency.

              Faster Delivery

              The logistics and supply chain industry are prone to face several issues affecting delivery and delays. By incorporating logistics software, businesses can rapidly deliver their products to customers. Logistics management software significantly improves delivery time by speeding up the production cycle and choosing a suitable carrier. It ultimately reduces shipping delays to a great extent.

              Minimize Human Errors

              Another notable advantage of implementing logistics management software is minimizing human errors. Manually analyzing large quantities of data is tedious and time-consuming, which leads to flaws. Logistics software simplifies work by quickly processing these data and seamlessly pushing forward the operations with minimal delays.

              Automate Functions

              Process Automation is a tremendous boon of logistics software integration. Logistics software easily automates certain functions like creating shipment routes, load planning, and tendering of loads to carriers. Moreover, it eliminates paperwork, which helps deal with the processes efficiently and timely.

              Reduce Costs

              Logistics software can automatically compare different shipping services, delivery agents, and transportation methods to find the least-pricing ones. The other way logistics software reduces costs is by lowering the expedited shipments through improved shipment planning.

              Customer Support

              Logistics software provides good customer support service tools for all assistance. It provides a platform to centralize all customer support needs. Chatbots, automated alerts, notifications, and virtual assistants improve customer service speed and quality.

              How To Overcome Logistics Challenges with Logistics Software

              The logistics industry is complex and involves a lot of complicated processes and hassles. With the pandemic, businesses were compelled to rely more on logistics management software to pace with changing demands and provide essential items to customers. To address the pressing challenges in logistics management, a modern logistics software solution promises to add increased scalability, speed of delivery, efficiency, and accuracy.

              1 Rising transportation costs

              With the hike in fuel prices, the cost of transporting goods increases substantially. The logistics industry is greatly impacted by the challenge of maintaining low shipping costs for delivering products to customers.
              The route optimization feature in logistics software can help the logistics industry overcome this chaotic challenge. With the right implementation, companies can easily detect the fastest route to deliver goods and save fuel expenses. Hence, this is economical for the logistics company and customers, as they can avoid paying high shipping costs.

              2 Delay in delivery

              Another important problem is the inadequate waiting time for products. Due to climatic conditions, factory shutdowns, port capacity issues, or other disruptive events, delivery of products may be slowed or sometimes comes to a standstill.
              Logistics software makes it easy to automate your delivery processes and increase efficiency. Get timely updates on the movement of products using tracking software or real-time visibility of shipments. This helps to give a bigger picture of when the goods are dispatched, procured, and when they will be delivered. Automation saves your time lost when working manually and provides accurate data and tracking, thereby improving the overall delivery process.

              3 Lack Effective Coordination

              The major problems in the logistics industry creep in from its inconsistency and fragmentation. With multiple parties involved in the logistics supply chain- manufacturers, storekeepers, drivers, managers, and customers, it is difficult to have centralized control over their communication path.
              Such issues can be alleviated by adopting effective communication and real-time visibility software systems that can be integrated directly into the warehouse management system, providing access to partners and clients. This puts everyone in the loop with proper visibility of the various stages in production and distribution.

              4 Meeting the demand surge

              Demand surges or panic buying influences inventory stock levels and customer service satisfaction and can also impact the entire supply chain. Filling the inventory stock on time is a massive operation and requires proper planning.
              Forecast accuracy and automation help get a proper inventory stock overview and meet perpetual demand fluctuations. To fulfill growing delivery volumes and maintain customer satisfaction, logistic software with a digitized system helps to orchestrate these operations effectively and flawlessly.

              5 Warehouse management errors

              Flaws in warehouse management are common such as misplaced products, packing or shipping wrong products, incomplete orders, or damaged items during delivery. Such human errors can become costly when they are not regulated.
              The best way to reduce such mistakes is by leveraging an effective and updated warehouse management system. Logistics companies must invest in modern technologies like artificial and augmented intelligence, advanced analytics, automation, and warehouse robotics to manage their inventory and improve business scalability and competitive edge.
              IoT helps to improve the logistic processes by providing proper visibility in every stage of the supply chain and maintaining inventory efficiency. Integrating an IoT device in the logistics ecosystem enables clear-cut transparency in various operations like real-time visibility of goods, condition monitoring, storage and warehousing, and fleet management.
              Logistics companies use AI to identify patterns in data and churn insights. It helps to advance operations such as intelligent transportation, route optimization, demand forecasting, budget planning, etc. McKinsey reports that AI-driven logistics optimization can reduce costs through real-time forecasts and behavioral coaching. The potential incremental value of AI in the logistics and transportation industry (89%) will be more than other analytics techniques.
              Over the last few decades, innovative logistic robotic companies have worked hard to mesh AI and machine learning, better sensors and response capabilities, warehouse management software, or logistics management software. Recently, warehouse robotics in the supply chain has picked up pace exponentially. There has been colossal funding and investment in the industry. For example, Alibaba invested $15 billion into robotic logistics infrastructure, and Google invested $500 million into automated logistics for JD. It is also estimated that the global market for warehouse robotics in the supply chain will reach a market value of $22.4 billion by the end of 2021.
              In a pandemic-troubled world, contactless delivery is more critical than ever. eCommerce companies and carriers face increasing pressure due to the surge in online shopping. It’s crucial to stay agile by ensuring business continuity. At the same time, it is also vital to remain safe and meet delivery needs. Electronic parcel lockers, contactless parcel delivery and collection, and self-service pick-up automate delivery processes to reduce physical interactions between customers and delivery agents. Custom logistics software applications can help fulfill the increasing demand for last-mile delivery. Fingent helps build healthy tech partnership ecosystems to ensure uninterrupted supply and distribution of your products and services.
              Automating warehouses promises to streamline processes and improve efficiency, speed, and productivity with a considerable reduction in human interventions. Many processes, such as procurement, distribution, customer service, etc., can be automated along a supply chain. The Global Logistics Automation Market size was $50.9 billion in 2020, but its CAGR of 12.4% may grow to $82.3 billion by 2026.
              Blockchain, also known as distributed ledger technology, can record transactions between parties securely and permanently. The shared and secured databases enabled by blockchain help avoid intermediaries and third parties verifying records and coordinating supply chain transactions. Blockchain helps increase the traceability of the material supply chain, improve the credibility and trust of shared data, digitize physical assets like contracts and critical documents, streamline administrative processes, reduce costs, and enable effective auditing of supply chain data.

              Example of blockchain application in logistics: The international logistics giant DHL uses blockchain-based serialization of pharmaceutical drugs and products to ensure that the products come only from legitimate manufacturers, not counterfeit, and are adequately tracked and traced through their journey from origin to consumption.
              The emergence of sensor technologies and AI has contributed heavily to the rapid growth of predictive maintenance in the logistics industry. Supply chain leaders want to utilize data effectively to optimize predictive maintenance, forecast demands, adjust inventory levels, improve cold chain transportation, and protect the integrity of the supply chain. Smart and optimized data management through predictive analytics and AI allow logistics providers to refine and transform the supply chain in the coming years.
              Cloud-integrated logistics management software allows real-time price updates, inventory, and tracking. It enables real-time accuracy and 360-degree management of processes and systems. You can track a product’s lifecycle, from ordering to distribution. It significantly cuts down the costs of lost products, missing deliveries, locating a shipment at any stage of transport, and rerouting a misdirected shipment. Cloud-based logistics software allows everyone in a trade network to communicate and share real-time data, make decisions quickly, and scale on demand.
              Autonomous vehicles enable the delivery of goods without any human intervention. This helps the supply chain respond quickly and more quickly to customer demands. It helps to deliver goods safely and faster while improving vehicle safety and eliminating human errors. It significantly contributes to fuel efficiency, performance, and cost.
              Elastic logistics helps companies upscale or downscale their warehouse operations and resources efficiently in the event of changing demands. It can tackle the challenges of supply chain companies, amending the production lines, including managing space in a warehouse, better inventory management, and distribution of goods without jeopardizing the current working of the facility or incurring higher costs.

              Choosing the Right Logistics Management Software

              With the trends shifting logistics management in a progressive direction, the need for software solutions in the field has become indispensable. Businesses, whether focussing on e-commerce or delivering services, can benefit from having logistics management software. However, the real question is finding the right kind of logistics software since the requirements vary for each business.
              Before settling on software for logistics management, it is vital to understand the daily requirements and challenges a business faces. Carrying out a detailed analysis can help identify deficiencies in the existing logistical operations of a business. Besides that, it can suggest measures to redeem any discovered shortcomings in the cycle.
              There are several essential factors to consider when deciding on logistics management software. Firstly, it should contain a basic set of functions that can aid in simple logistical management operations. Besides that, numerous other things should also be present in the software to tackle the wide base of a business’s logistical operations and processes.
              Here is a checklist of the essentials to look for while choosing logistics management software.
              Refer to the chart below to get a grip on the overall profile of any software logistics management:
              With logistics pushed to the forefront of business operations, leveraging the right technology can make your business compatible with the changing environment.
              Outsourcing to a software development vendor will help deploy scalable software for logistics management into your entire supply chain operations. A global software solutions provider like Fingent can give you the advantage of custom logistics solutions based solely on your requirements.

              Common Business Applications of Logistics Management Software

              #1 Quickly respond to logistics
              RFQs
              Employ automated chatbots
              #2 Identify financial discrepancies in
              invoices
              Use of AI or ML techniques
              #3 Cargo movement &
              collection
              Implement warehouse automation
              #4 Better customer service
              Use of chatbots and virtual assistants
              #5 Demand forecasting
              Employ AI-powered predictive analytics
              #6 Good inventory control
              Adopt an ERP system
              #7 Displaying route information on drivers’ windscreen
              Use of AR or VR devices

              Use Case # 1 Quick Response to logistics RFQs

              Logistic operators must respond quickly to client requests and schedule and process orders. Implementing bots helps respond to RFQs on time and speed up the quotation process with less human intervention. Bots can help provide timely quotations and improve the chances of winning the RFQ. Bots can also support increasing sales because of their 24/7 availability and faster response rate.

              Use Case # 2 Identifying invoice discrepancies

              On many occasions, the invoices have price differences with the order or quantity differences between the receipt of the goods. Such scenarios in the logistics industry can be avoided using artificial intelligence (AI) or machine learning (ML) techniques. AI uses Natural Language Processing (NLP) tools to extract essential data from invoices to identify budget discrepancies.

              Use Case # 3 Displaying route information on drivers’ windscreen

              Logistic companies use AR/VR to transport goods, ensuring the delivery of goods is safe, on time, and effective. A driver traveling with the load would find it easy and convenient to find essential information about traffic jams and alternative routes displayed on the vehicle's windscreen. Or the relevant information can also be shown on a smart glass that can be worn by the driver while driving. Such innovative methods help to save time rather than checking information on a separate gadget.

              Use Case # 4 Cargo collection and movement

              Warehouse automation can automate the movement of goods to and from warehouses with minimal human assistance. Businesses can eliminate repetitive physical work, labor-intensive duties, and manual data entry and analysis. Warehouses can employ robots for tasks like cross-dock transportation and moving cargo from the warehouse to the shipping zone, and automated software can record the movement of that inventory. This helps save upfront costs, from improving operations to minimizing human error.

              Use Case # 5 Delivering Better Customer Service

              Logistic companies must always be prepared to meet customer needs appropriately. Automated customer service or tools like chatbots and virtual assistants can answer customer queries regarding delivery status, consignment location, and delivery time. The logistic system must be automated, bridging gaps between disparate IT systems with quick access to information to provide quality customer service. This helps customer service agents become more productive and fulfill better customer experiences.

              Use Case # 6 Demand forecasting

              Demand forecasting is key to success and growth, which helps identify potential scope for expansions and potential threats. The AI-powered predictive analytics feature in logistic management software supports demand forecasting, which enables companies to predict demand, supply, and pricing within an industry. This feature combines historical data from various sources and helps improve demand forecasting accuracy. It will help companies to stock up sufficient quantities to meet customer demands without having a surplus. Moreover, it helps to organize cash flow better and plan the workforce to boost business efficiency.

              Use Case # 7 Better control of inventory

              An ERP system provides a centralized system to manage the inventory from all corners, with the ability to gather and bring information from different sources into one location, including current requests, inbound and outbound sales, stocks, or delivery status. It helps to streamline various operations and provides an overall picture of the entire logistics system- it tracks the live status of the goods, customer details, customer trends, transportation processes, and more.

              Challenges Faced By Companies Implementing Logistics Software

              Adopting digital technologies is still not as rampant a practice as it should be in the logistics industry. Many key decision-makers in companies link the process with the chaotic deployment of complicated technologies. Logistics companies plan to invest 5% of their revenue per year in digitalization. But the industry’s low profitability makes such funding challenging.
              0 %

              50% of US importers still use spreadsheets to manage their complex international supply chain.

              Adopting logistics management software would mean considering many things, from employee reactions to their impact on customer relations and costs and how they align with the business objectives. Navigating these considerations can be easier said than done, as logistic companies must tackle some serious mindset blocks to go ahead with digital transformation. Some common challenges companies face in implementing logistics management software are
              Fingent enables logistic companies to implement a custom logistic solution that guarantees modernizing traditional business processes and automating mundane tasks to increase efficiency and improve the business’s overall productivity without disrupting the existing system.

              How Custom Logistics Management Software Can Benefit Your Supply Chain

              Like every other industry, there is no one size fits all solution for logistics management, as the requirements vary from business to business. Logistics management software refers to a wide range of technology solutions like order management, transportation management, inventory management, warehouse, operations, and fleet management. Some logistics and transportation companies turn directly to ready-made or off-the-shelf logistics solutions. However, some prefer to choose customizable logistics management software to improve their services.
              Custom logistics management software is tailored just to your business and meets your exact specifications. They provide personalized logistic solutions that focus on fixing not just the general logistic issues faced by businesses but the ones that are specific to your company. These logistics solutions are based on the analysis of your business operations, requirements, and challenges you face, and then provide solutions to those needs.

              Why choose custom logistic software?

              Fingent Builds a Custom Logistic Management Software

              We helped built a custom warehouse management and order processing software to simplify what was once considered complex order processing. It allows customers to place orders quickly and warehouses to track every order with improved efficiency and sophistication.
              A personalized transportation management system lets our customers view their order status in real-time and access up-to-date shipping data.
              It’s time to re-imagined logistics and supply chain operations with customized software solutions.
              Top Benefits of the Solution:

              Transitioning into Cloud-Based SaaS: The Future of Logistics

              Cloud computing is gaining momentum unveiling a whole new way of processing data. Tech innovations have influenced the supply chain and logistics operations. Increased supply chain and logistics solutions adoption will shift from the on-premise model to the SaaS model.
              Predictions estimate that a subscription-based SaaS model will dominate supply chain management in the future. Adopting a cloud-based supply chain solution offers benefits in the form of flexibility, robustness, and affordability. Free and open-source software adoption has made the cloud the primary choice for logistics providers and organizations worldwide.
              Cloud-based SaaS supply chain solutions offer numerous benefits. It gives a comprehensive outlook on logistics operations by making processes more transparent and collaborative. Implementing a cloud system reduces upfront and operating costs. It also offers the ability to scale up with the business needs and enhances supply chain efficiency.

              Bottom Line

              Opting for a logistics solution is one step to simplifying the entire cycle of logistical and supply chain operations. Effective management of each process, from procurement to delivery, requires a custom logistics management solution that can accommodate each provider’s demands. For instance, an organization lacking an in-house logistics department needs a software management tool to wrap around its existing methodology and improve it.
              Businesses can deploy logistics management software tailored to their requirements by partnering with a vendor specializing in software development. Pioneers in custom software development like Fingent can assist companies from wholesalers to distributors to e-commerce with the advantage of custom logistic solutions. Get in touch with us to spearhead your operations swiftly and efficiently.

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                About the Author

                ...
                Vinod Saratchandran

                Vinod has conceptualized and delivered niche mobility products that cater to various domains including logistics, media & non-profits. He leads, mentors & coaches a team of Project Coordinators & Analysts at Fingent.

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