Category: Business

How your online store can benefit from Odoo ERP integration

The share of global retail sales generated via e-commerce witnesses a steady rise year over year. Thanks to COVID-19! The 2020 digital commerce market saw many new entrants including the brick and mortar purists who were always hostile to investing in modernization. 

Looking at the current scenario, we can rest assured that the surge in online shopping activity will not take a back seat even after the economic crisis settles. The increasing convenience offered by multiple digital channels will lure customers to make more purchases online, be it daily necessities, medical supplies, precious gadgets, or other seasonal goods.

As of 2020, there are around 2 bn digital buyers in the world, which is roughly 25% of the global population. According to a study, 20 years down the line, 95% of all purchases are expected to be via e-commerce. Imagine the vast online buying population demanding access to details such as order histories, past invoices, product comparisons, ratings, reviews, descriptions, warranty, usage, and more such data! Is your e-business equipped to handle this?

Read more: Odoo CRM vs Salesforce CRM: How to make the right choice

Any business- small/ medium/ large– ambitious of growing its online presence should tap the right technology, and any e-commerce business that wants to deliver exceptional customer service requires powerful integration with an ERP system. You can consult with an Odoo ERP software development partner for customized needs. 

In this post, we look at the five advantages of integrating your e-commerce application/business with Odoo, one of the popular open-source ERPs loved by many leading brands. 

Why Odoo, among many?

1. A complete package with multiple functionalities

Odoo ERP is a holistic, full-fledged package that comes with the principal solutions needed for managing a business including sales, CRM, project management, financial management, inventory and warehouse management, manufacturing, logistics, HR, and more. With its 1000+ modules available both on cloud and on-premises, Odoo integration offers a complete software system that allows you to manage your entire e-store from a single location.

Be it your inventories, orders, customers, shipping, tracking, or any other dynamic function, Odoo ERP integration helps manage every task through a single solution, thus eliminating the need for maintaining disparate third-party wares for each module. The integration also supports multiple store management via a single software, maintaining a common inventory for all. 

2. Breaks data silos to improve visibility across your business

Siloed data is one of the major challenges that stand in the way of e-commerce companies. This will prevent you from getting a unified view of your operational and experience data essential to expedite your marketing strategy and growth. Post Odoo ERP integration, neither do you need to look into different departments for data, nor do you require to manually enter data into your system.

You can see in your e-commerce application all the key data like your shipping information, product information, inventory levels, customer feedback, etc. By de-compartmentalizing data from multiple systems, Odoo saves your time and labor considerably.  

Read more: What makes Odoo the best ERP solution for your business?

3. Flexible payment options

When it comes to adopting a digital payment option, the convenience of customers comes first. It’s important to adopt the payment type that’s both preferable to them as well as compatible with your system. Integrating Odoo ERP into your e-commerce application helps you gain flexibility with the payment method. It allows you to integrate payment gateways such as PayPal, Ogone, Adyen, Buckaroo, Authorize.net, Stipe, etc. You can customize payment through modules suitable for your store. 

4. Shipping integration

Odoo ERP can be integrated seamlessly with popular third-party shipping carriers such as FedEx, UPS, DHL, USPS, ShippingEasy, and more through APIs. Odoo e-commerce module allows you to use add-on connectors to manage your shipping activities and track your orders from the ERP itself. This enables real-time tracking of data and order fulfillment. 

5. Realizes faster ROI and profitability

Getting faster returns is the key pain point of any business. Odoo ERP- eCommerce integration will help you realize faster ROI and profitability by performing a precise analysis of your sales and inventory via reports and automatic stock adjustments. The ERP allows you to stay organized with updated customer information by tracking orders and claims. Besides, your customers can view or download their invoices and track their order status, pending shipments, and deliveries. 

Read more: A 3-day Odoo CRM implementation story! 

Explore unlimited possibilities with Odoo

As technology advances, the need to simplify customer experience also moves to the next level. Implementing a smarter business process management solution while keeping your investments to the bare minimum will require you to bank you on the safe shores of an open-source ERP like Odoo. With its powerful inventory and sales management features and easy-to-integrate modules, Odoo makes the best contender for small and medium businesses to scale up in the e-commerce space.

Fingent is an Official Partner of Odoo with an ace team that offers consulting, development, and implementation services. Whether you want to integrate Odoo ERP with your existing e-commerce store or build an online store from scratch powered by Odoo integration, give us a call right away.       

All that you need to know about React Developer Tools

React is an incredible framework for frontend development. It also facilitates mobile app development for multiple platforms. React was a game-changer for IT companies in the USA and across the world, and developers were thrilled when Facebook announced its launch. This post explores the features of React developer tools. 

If you are into React development, you must have tried the official chrome React developer tools. This React devtools extension lets you debug your components and is available even as a standalone application. React developer tools help us smoothly create interactive UIs and React is able to reconcile changes to the DOM in a performant way. 

The React Developer tool is undergoing constant development with new features added to it regularly. It is an essential instrument you can use to inspect a React application. This article lists out the features of React Developer Tools that you might like to try out and also discusses the best IDE for React. 

Read more: React Native App Development – React Native Or Flutter – The Better Choice For Mobile App Development

Inspect and Debug

It is possible to use breakpoints, step-through, and logging to debug a React app. But it can become difficult especially if you have to debug an application that you haven’t seen before. By installing React developer tools, you can overcome some of these challenges. 

Installing React Developer Tools

You can install React developer tools on the browser you are using to run the application. One of which is the chrome React developer tools extension. It is available in the appropriate extension store. Once it is installed, either as a browser developer tool or as a standalone application, two new tabs will become available: Components and Profiler.

Components Tab

The Components tab allows you to see the root React components that were rendered on the page and the subcomponents that they rendered.  You can inspect and edit its current props and state in the panel by selecting one of the components in the tree. It allows you to inspect the selected component, the component that created it, and the component that created the second component and so on. 

While inspecting a React element, switching over to the React tab will automatically select that element in the React tree.  

Profiler Tab

The Profiler tab is an incredibly powerful feature introduced in 2018. React Devtools provides a profiling feature that allows you to see a summary of how your application re-renders. Just like the regular JavaScript profiler, you will have to “record” a set of interactions. Once you start the recording, React Devtools will automatically gather the performance information each time your application renders. You can continue to use the app as you normally would. Once you’re done with profiling, click the ‘stop’ button. Now you will be able to see a visualization of each re-render with accurate timing information and color-coded flame graphs. 

Read more: Web Development Stacks – Top 6 Tech Stacks That Reign Software Development in 2020

Best IDE for React

A good IDE for React is a must to get started with the React ecosystem. Selecting the best IDE for React from among the many that are available out there can be a daunting task. This section will help you make a choice from both the free as well as the paid IDEs.

1. VS Code

VS Code is a Microsoft product and is available for free under open-source MIT license. You can download and set-up VS Code on Mac, Debian, Windows, Ubuntu, Red Hat, SUSE, and Fedora. It can be used for various programming needs. Being the most used free IDE, it is loaded with many useful features. 

The plugins enhance JavaScript programming as well as the development experience with React and React native and more. 

2. Reactide IDE

Reactide is comparatively new but is gaining popularity among the community of React web app developers. It focuses on web apps development. It is entirely dedicated to React-based application development. It is a one-click setup that installs and runs a custom browser simulator. It spares you from switching between code files and the browser to check the changes made. It is a cross-platform, open-source, free tool. 

3. Atom

Atom is among the most popular open source text editors for modern programming. Built by GitHub, Atom comes with Git control and hence fits seamlessly in the GitHub ecosystem. It is a desktop-based application that is used for building apps using web technologies. 

4. Rekit studio

Rekit studio is focused specifically for developing apps using React. It works both as an IDE and as a toolkit that can be used for developing scalable web apps using React Router, React, and Redux. Since Rekit has its own Rekit studio, things remain simple and controlled. It is a favorable solution for small scale developments. 

5. VIM

Although it is one of the oldest IDEs, VIM has remained the favorite for some developers. Its popularity can be gauged from the fact that Facebook developers used it in the early days. It comes with many features for fast code writing using a keyboard. Using various available plugins for JavaScript and React, VIM can be transformed into a powerful IDE.

These are some of the features that we hope you will find helpful. If you have any questions on React Developer Tools or want to see how this can benefit your business, please let us know.

Robotics in Logistics: Dawn of a New Era

Since the advent of e-commerce, getting goods to the customer’s door or stores from the factories or warehouses has become a mammoth task for logistics companies. Forecasts say that “worldwide warehousing and logistics robot unit shipments will increase to an estimated 620,000 units annually by 2021.” The solution for this herculean task of transporting goods far and wide thus becomes apparent: the dawn of robotics in logistics. The use of robotics in logistics offers far greater levels of uptime over manual labor, bolstering productivity in a vast array of professional environments. 

Retail giants like Amazon and Walmart that have already deployed robots in their warehouses and fulfillment centers will only expand their deployments, especially in the wake of current situations. Leveraging robotics in logistics cuts around 70% of warehouse labor costs and helps businesses function day and night with minimal costs. Want to find out how? This post will help you understand the importance of utilizing warehouse robotics in the supply chain.

A Surge in Warehouse Robotics in Supply Chain

The first robot in the supply chain was capable of moving material about a dozen feet. For several years, robots were used only in industrial manufacturing because it was not safe for people to be around them. However, 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 huge 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 is projected to reach a market value of $22.4 billion by the end of 2021.

Evidently, the dawn of robotic logistics is right here now!

Read More: How Robotic Process Automation Is Revolutionizing Industries?

What is Robotic Logistics?

The logistics industry is what is holding our modern world together. It includes a huge amount of different processes. Ordering, transportation, warehousing, picking, packing, delivery, inventory, and routing are just a few of those processes. 

So, robotic logistics means the application of robotics to one or more of these processes. A few common robotic applications are robotic palletizing, robotic packaging, robotic picking commonly used in warehousing or any other logistics software solutions. 

So, what kind of robots could be useful for your warehouse?

Warehouse Robotics in Supply Chain

1. Autonomous Mobile Robots (AMR)

AMRs use sophisticated sensor technology to deliver inventory all over the warehouse. They do not require a set track between locations. They can understand and interpret their environment through the use of maps, computers, and onboard sensors.

These warehouse robots are small and nimble with the ability to identify the information on each package and sort it with impeccable accuracy. They cut down on the redundant manual process which is prone to human error. 

2. Aerial Drones

Aerial drones aid in optimizing warehouse inventory processes. They can quickly scan locations for automated inventory. They can scan inventory much faster than a human can and send an accurate count immediately to your warehouse inventory management software.  

These drones do not need markers or lasers to guide them. They don’t take up valuable space in your warehouse. They can travel quickly and assist in hard-to-reach areas. 

3. Automated Guided Vehicles 

Automated guided vehicles and carts (AGVs and AGCs) transport inventory around your warehouse following a track laid in your warehouse. These warehouse robots are perfect for larger warehouses because it reduces the time spent by workers just moving from one area to the next. 

4. Automated Storage and Retrieval System (AS and RS)

Automated Storage and Retrieval Systems are robot-aided systems that can place or retrieve loads from set storage locations. AS and RS differ depending on the system needed, the type of task, or the goods that they will be working with. They can be programmed to work as a craft that moves and works on a well-defined path or a crane that retrieves goods between aisles. There are also aisle climbing robots that retrieve customer orders. 

These free up the time of workers who can then concentrate on more complicated processes such as packing and posting the goods. 

Read more: What Are Cobots and How Can They Benefit Industries?

What is Driving the Need for Collaborative Robots in Logistics?

Although there has been a boom in logistic robotics, there are two specific factors that are driving the current need for collaborative robots in logistics. 

• The growth of e-commerce: When products are directly shipped to customers, there is a huge variety of different packing requirements. 
• The lack of available workforce: Shortage of skilled workers can affect logistics.

What are the Benefits of Adopting Robotic Logistics? 

The logistics industry can see many tangible and clear benefits of adopting robotic logistics. 

• By reducing human errors, robotic logistics can bring in significant profits and can also reduce warehouse costs. 
• Robotics can allow for workforce adaptability. 
• Robotic logistics improve safety for workers by taking over dangerous jobs such as getting items from high racks or storage spaces.
• Reduced human error and increased delivery speed brought about by robotic automation will increase customer satisfaction. 

Read more:  Open source robotics process automation

Enjoy the Freedom To Do More

Robots are being used rather extensively in logistics. Due to the complexity of supply chain processes robots will be increasingly used for dull, dirty, and dangerous tasks freeing your workers for more complex tasks. This means cost-effective, fast, and error-free operations. If you want this for your business, get in touch with us immediately and let us fix your business up with robot power.

Empowering CFOs to Derive Crucial Insights and Implement Strategic Decisions with Confidence 

The role of the CFO is no longer restricted to fulfilling traditional financial duties. With advances in technology, the CFO’s responsibilities are also growing as today’s CEOs and boards demand the finance function provide real-time, data-enabled decision support. The present-day CFOs and their teams serve as gatekeepers to critical data that is required to generate forecasts and support business leaders to make strategic decisions that have a lasting impact. 

With that said, what are the challenging areas for CFOs where they can perform better with the integration of the right technology? We’ve tried to list out a few here.

Key Challenges Faced by CFOs

1. Insights

• Acquiring self-service analytical capabilities to garner strategic and operational insights for reliably enabling key decisions and enhancing visibility through the board-room to the shop floor. 
• Addressing big data requirements is another challenge. Embedded data analytics that connects transaction executions with immediate insights and analyses is a must-have weapon in the CFO’s armor. With automatic matching capabilities, finance professionals can reduce the time taken to gather data.      
• Predictive insights are essential to assess future outcomes. CFOs equipped with predictive analytics capabilities empower organizations through powerful budgeting, planning, and forecasting that will drive the business on the right path. 

2. Ensure agility to respond, adapt and survive

• It’s always at the top of a CFO’s agenda to optimize risk management and establish a sustainable cost-effective control environment. A sustainable compliance program (compliance-first approach) can free up to 30% of the function’s capacity while keeping the risks low. 
• Structure finance to make the most of tight budgets and provide financial support for corporate initiatives by ensuring discretionary expense management and operational costing optimization.
• Increasing adoption of “Shared Services model” (service delivery models under centralized and decentralized structures) for enterprise operations allows businesses to expand to several domains, customers, products, geographies, and channels. For CFOs, this translates to more challenges w.r.t. strategic pricing, customer and product profitability modeling, and profitable growth target setting. CFOs also need to cater to multiple businesses and stakeholders while supporting all the current and evolving business models.  
• Embedded localization requirements to best-balance the risk and efficiency and implement best practices supporting operations across segments, industries, and geographies.
• Flexible deployment models allowing the optimal combination of cloud and on-premise solutions.

3. Optimize costs, digitize finance, and other functions

• CFO and other finance professionals are expected to offer more value-add solutions that provide strategic direction for the enterprise. Automation of repetitive, rule-based finance functions enables CFOs and financial professionals to focus more strategically.  
• CFOs need to gain improved visibility across all cost components that allow them to take quick actions such as cutting unwanted costs and justifying new costs in a tangible way. 
• Integrate and unify all corporate processes allowing for a higher level of standardization. This can only be achieved with an intelligent enterprise technology like SAP S/4HANA. 

Why is SAP S/4 HANA ideal for CFOs?

Traditional ERP systems store data in many different tables. As a result, financial teams struggle with isolated and inconsistent information from many sources. They end up spending hours sifting through data and compiling reports manually. Despite this, they are unable to provide the desired financial insights. On the other hand, SAP S/4 HANA stores all financial information in a single Universal Journal. It is a powerful concept that eliminates redundancy and creates a single source of truth. This gives you easy access to accurate, timely, and qualitative information. Your business processes become transparent and reliable. 

The broad portfolio of new technologies and innovations in SAP S/4 HANA Finance empowers CFOs with responsive decision-making tools. These tools give you instant insights into all the company’s data and systems. You can perform end-to-end analyses right from the boardroom to the shop floor. 

Read more: How SAP S/4HANA transforms the end-to-end business process

(Click to enlarge the image)                            Source: SAP

Embedded Analytics

Organizations using ERP systems have always found that while it’s easy to enter data into the system, getting interesting information from it is tedious. SAP S/4 HANA Finance enables direct reporting without the need for a data warehouse for specific analytic requirements. This is possible because of the Universal Journal. However, this alone does not deliver the right insights. This is where Embedded Analytics in S/4 HANA comes in. 

Embedded Analytics allows not only the intuitive navigation through graphical views but also the close integration of analysis capabilities within the operational transactions. This makes it easy to act directly on the right information without having to switch between screens or systems. It has business planning, consolidation, and forecasting capabilities which can help you gain new insights from different perspectives. 

The embedded analytics in S/4 HANA is also helpful to determine the best course of action when unprecedented disruptions occur. Thus, the role of the Office of Finance transforms from mere historical reporting to analyzing business performance.

Read our case study: Find out how Fingent automated integration between SAP SuccessFactors and SAP S/4HANA

Predictive Capabilities

Organizations need accurate financial insights to steer their business in the best path. In the past, decision-makers requested information through month-end reporting. That practice is long gone. Today, continuous delivery of relevant information is the minimum requirement. More insights are requested on what the future would bring. This is where Predictive Accounting can help. 

For example, when a sales order is confirmed in the system, it is not recorded in accounting until you deliver the goods and send an invoice. With Predictive functionality based on the sales order, a predictive invoice is registered. When the actual invoice is sent out, the predictive posting is back-posted, reducing the predicted amounts. This predictive accounting logic can help you simulate financial postings based on the confirmed incoming sales orders. You end up getting an accurate and futuristic view on your margin.      

Read more: How SAP Helps Manage Your Payroll During COVID-19 Crisis

Transforming Finance into an Intelligent Portfolio

The S/4 HANA digital core offers predictive analytics combined with machine learning across various lines of businesses (LoBs). SAP Cash Application is the first Lighthouse application that is based on SAP Leonardo Machine Learning. It analyzes the customer’s historical data, learns which matching criteria are important, how to prioritize them, and how to best apply them using machine learning. This helps to intelligently match payments to open receivables and automatically clear those items minimizing manual effort. Thus, we process cash faster, improving the days of sales outstanding. 

Read more: Unlock the Potential of Intelligent Enterprise with SAP Leonardo

In other words, finance teams can scale as the business grows and save time to focus on strategic business tasks like growth and planning. The machine learning application is cloud-based and non-disruptive to the system-of-record. As it is tightly integrated with SAP S/4HANA, you can easily adapt innovations without having to resort to costly and time-consuming IT projects or any risky activities in your back-end system.  

(Click to enlarge the image)                         Source: SAP

Take Your Next Step with Fingent

SAP S/4 HANA supports CFOs by using business processes that are already available within the S/4 HANA environment. As CFOs grapple with new disruptive business models, SAP S/4 HANA Finance can help them in their decision-making process at a tactical and strategic level. Leveraging these technologies can enhance the organization’s ability to pivot quickly and adapt to dynamic business scenarios. 

Making this big leap is definitely challenging, but Fingent’s extensive knowledge and expertise on SAP S/4 HANA Finance can get you going. Connect with our SAP expert to learn more.

A Head-to-head Comparison of Odoo CRM vs. Salesforce

The race for business success is tough. Mimicking your competitors in what is working for them might seem like a good idea, but it will get you nowhere in the long run. Success comes only when you find that perfect recipe that is unique to your organization and gets you a notch above everyone else. This is particularly true when it comes to your CRM software. You must choose the right software that fits your sales teams’ unique and complex needs perfectly.

The quest for that perfect CRM software requires analyzing various crucial factors. Making the right choice can radically impact the effectiveness of your daily operations and boost the productivity of your sales team. The factors you need to consider are vendor reliability, real total implementation cost, pros and cons, full list of features, and user reviews. In this article, we provide a comparison of Odoo CRM and Salesforce CRM against six key criteria. We hope this helps you in making an informed decision. 

Read more: Odoo CRM Vs SAP CRM: How to Choose Between Them

What is the Difference?

Salesforce is often described as “the world’s #1 CRM sales app.” It claims to put everything you need at your fingertips – accessible from anywhere.  It makes collaboration across your global organization easier and gets your deals done faster.

Odoo, on the other hand, is often described as “the open-source ERP and CRM.” It is a business management software that includes CRM, e-commerce, accounting, billing, warehouse, manufacturing, project management, and inventory management. 

So, here we’re comparing these two popular CRMs against these 6 criteria:

1. Marketing automation comparison  

One of the proven strategies to generate sales by any enterprise around the globe is being able to send messages to customers at exactly the right time. In this regard, both Odoo and Salesforce have great marketing automation features. 

• Salesforce allows you to send a customized email to your customer through web personalization. 
• Odoo kicks it up a notch, allowing you to design an entire workflow for your enterprise. You can automate your action depending on the customer’s reaction to your email which might include replying to your email or deleting it. 

2. Cost comparison 

The actual cost of CRM software includes the subscription fee, software license, software training, and customization cost, hardware, and the cost of other services such as support and maintenance. It is crucial that you account for all the costs involved to understand the system’s “total cost of ownership.” 

• Salesforce CRM starts at $25 per user/month. They also offer a yearly plan. Apart from this, you will have to make additional payments for integrations that you will add to your software. 
• Odoo CRM too starts at $25 per user/month but offers a free plan which is helpful for startup companies. Although integrating paid apps incurs charges, the Odoo Community Edition is free. 

3. Integration comparison

Your software serviceability requires powerful integrations.

• Salesforce can integrate with a variety of apps making it suitable for all businesses. 
• Being an open-source software Odoo provides free apps that can be integrated into any kind of business. 

4. Contact management comparison

One of the key capabilities that businesses require is the ability to view and manage contacts. 

• Since Salesforce is a cloud-based CRM, it can obtain certain missing details of your contacts from other sources in the cloud. Also, it can analyze the interactions between the contacts over various social media platforms which can be a great help to your business in generating leads. 
• Odoo gives you complete access to the history of business interactions for each customer. This allows you to adjust your business strategies according to the purchasing habits of your customers. You can also synchronize Odoo with your Google Calendar so you can keep track of your meetings and additional follow-ups.

5. Dashboards and reports comparison

While dashboards assist you in presenting and viewing your business performance, reports help you audit sales and gauge work performance. Dashboards and reports help you make smart business decisions.

• Salesforce allows you to build a customized dashboard according to your business requirements. 
• Odoo offers free apps to create customized dashboards allowing you to create a variety of reports, balance sheets, tax reports, and bank reconciliation.

6. Vendor comparison 

• Salesforce is a global software company best known for its cloud-based CRM. In 2012, Fortune ranked Salesforce 27 in its 100 best companies to work for.  It was also listed in the New York Stock Exchange. 
• The Odoo community has 1,500 active members and has contributed over 4,500 modules. It has a network of certified partners established in over 100 countries. Odoo is one of the most frequently installed business suites with more than 1,500 downloads per day. 

Read more: A 3-day Odoo CRM implementation story!

Make An Informed Decision

While taking a decision, remember to compare the features of Salesforce and Odoo through the lens of usability, flexibility, and the unique needs of your employees and business. The highly modular and customizable solution provided by Odoo CRM is designed specifically for cost-effective and high-performance scalability and growth. 

Although Odoo is newer to the market when compared to Salesforce, this open-source CRM is used by certain popular names such as Hyundai, Toyota, and Alta Motors. There is no denying that Odoo has gained the trust of many users and is highly coveted by businesses of all sizes including SMEs/ SMBs. 

Read more: Meeting the HR Requirements With Odoo

Fingent is an Official Partner of Odoo and has hands-on expertise in the consulting, implementation, and customization of Odoo for clients across several industries. If you need further help in making your decision or want to get started with Odoo, give us a call right away. 

10 Services Offered by Fingent to Prepare Your Business for the Future of Digital Innovation

• Introduction
• Robotic Process Automation
• Business Continuity Planning
• Contactless Services
• Custom LMS | eLearning
• Business Process Re-engineering
• Reality Technologies
• Data Analytics
• Internet of Things
• Mobile Technologies
• Cloud Computing
• Innovation beyond digital transformation

How Time Series Analysis Enables Businesses to Improve Their Decision Making

• Introduction
• Definition of Time Series
• The 5 Most Effective Time Series Methods for Business Development
• Time Series Regression
• Time Series Analysis in Python
• Time Series in Relation to R
• Time Series Data Analysis
• Deep Learning for Time Series
• Benefits of Using Deep Learning to Analyze Your Time Series
• Time Series is Valuable for Business Development

Understanding the concept and significance of Deep Reinforcement Learning

The field of reinforcement learning has exploded in recent years with the success of supervised deep learning continuing to pile up. People are now using deep neural nets to learn how to use intelligent behavior in complex dynamic environments. Deep reinforcement learning is one of the most exciting fields in artificial intelligence where we combine the power of deep neural networks to comprehend the world with the ability to act on that understanding.    

In deep learning, we take samples of data and supervise the way we compress and code the data representation in a manner that you can reason about. Deep reinforcement learning is when we take this power and apply it to a world where sequential decisions are to be made. 

We use deep reinforcement learning to solve tasks where an agent or an intelligent system has to make a sequence of decisions that directly affect the world around the agent. While trial-and-error is the fundamental process by which reinforcement learning agents learn, they do use neural networks to represent the world.  

Read more: Key Differences Between Machine Learning And Deep Learning Algorithms

Types of learning

All types of machine learning– supervised learning, unsupervised learning, semi-supervised learning, and reinforcement learning are supervised by a loss function. Even in unsupervised learning, there is some kind of human intervention required to determine and provide inputs on what is good or bad. Only the cost of human labor required to obtain this supervision is low. Thus, the challenges and the exciting opportunities of reinforcement learning lie in how we get that supervision in the most efficient way possible.  

In supervised learning, you take a bunch of data samples and use them to learn patterns to interpret similar samples in the future. However, in reinforcement learning, you teach an agent through experience. So the essential design step in reinforcement learning is to provide the environment in which the agent has to experience and gain rewards. In other words, a designer has to design not only the algorithm but also the environment where the agent is trying to solve a task. 

The most difficult element in reinforcement learning is the reward – good vs bad. For example, when a baby learns to walk, success is the ability to walk across the room and failure is the inability to do so. Simple! Well, this is reinforcement learning in humans. How we learn from so few examples through trial-and-error is a mystery. It could be the hardware – 230 million years of bipedal movement data that is genetically encoded in us or it could be the ability to learn quickly through the few minutes or hours or years of observing other humans walking. So the idea is if there was no one around to observe, we would never be able to walk. Another possible explanation is the algorithm that our brain uses to learn which has not yet been understood. 

The promise of deep learning is that it converts raw data into meaningful representations whereas the promise of deep reinforcement learning is that it builds an agent that uses this representation to achieve success in the environment.     

Deep Q learning

Q-learning is a simple and powerful algorithm that helps an agent to take action without the need for a policy. Depending on the current state, it finds the best action on a trial-and-error basis. While this works for practical purposes, once the problem size starts increasing, maintaining a Q-value table becomes infeasible considering the amount of memory and time that would be required. This is where neural networks come in. 

From a given input of action and state, a neural network approximates the Q-value function. Basically, you feed the initial state into the neural network to get the Q-value of all possible actions as the output. This neural network is called Deep Q-Network. However, DQN is not without challenges. The input and output undergo frequent changes in reinforcement learning with progress in exploration. The concepts of experience replay and target network help control these changes.

Read more: Top 10 Machine Learning Algorithms in 2020

Deep Reinforcement Learning Frameworks

Here are the three Deep Reinforcement Learning frameworks:

1. Tensorflow reinforcement learning

RL algorithms can be used to solve tasks where automation is required. However actual implementation is easier said than done. You can ease your pain by using TF-Agents, a flexible library for TensorFlow to build reinforcement learning models. TF-Agents makes it easy to use reinforced learning for TensorFlow. TF-Agents enables newbies to learn RL using Colabs, documentation, and examples as well as researchers who want to build new RL algorithms. TF-Agents is built on top of TensorFlow 2.0. It uses TF-Eagers to make development and debugging a lot easier, tf.keras to define networks and tf.function to make things faster. It is modular and extensible helping you to pick only those pieces that you need and extend them as required. It is also compatible with TensorFlow 1.14.

2. Keras reinforcement learning

Keras is a free, open-source, neural network Python library that implements modern deep reinforcement learning algorithms. Using Keras, you can easily assess and dabble with different algorithms as it works with OpenAI Gym out of the box. Keras offers APIs that are easy and consistent, thus reducing the cognitive load. These APIs can handle the building of models, defining of layers or implementation of multiple input and output models. Keras is fast to deploy, easy to learn, and supports multiple backends. 

3. PyTorch Reinforcement learning

PyTorch is an open-source machine learning library for Python based on Torch and is used for applications such as natural language processing. It consists of a low-level API that focuses on array expressions. This framework is mostly used for academic research and deep learning applications that require optimized custom expressions. The PyTorch framework has a high processing speed with complex architecture.  

All these frameworks have gained immense popularity and you can choose the one that suits your requirements.

While deep reinforcement learning holds immense potential for development in various fields, it is vital to focus on AI safety research as well. This is going to be fundamental in the coming years in order to tackle threats like autonomous weapons and mass surveillance. We should, therefore, ensure that there are no monopolies that can enforce their power with the malignant use of AI. So international laws need to keep up with the rapid progress in technology. 

We have tried to brush across the basics of deep reinforcement learning and the top 3 frameworks that are in use currently. Want to know more about this amazing technology? Reach out to us at Fingent! 

Why your business needs to adopt headless CMS architecture

70% of companies are actively investing in content marketing and almost 60% of marketers rate content marketing as extremely important or very important to their marketing strategy, states HubSpot. Modern customer behavior is driving up the demand for a more flexible, customizable, and scalable CMS that is adept to deliver the experience your customers expect. When compared to traditional CMS, Headless CMS enables organizations to speed up delivery times while iterating quicker. This blog walks you through seven specific business benefits of headless CMS. Let’s begin by understanding what headless CMS is.

What is meant by Headless CMS?

A headless CMS allows us to edit CMS and database without an integrated presentation layer. The integrated presentation layer, which is referred to as a ‘head’, restricts the use of content only to one particular channel such as a website. Once CMS is severed from the head, it could be used across various other platforms such as a mobile, tablet, and smart devices, making it ideal for the current business scenario.

Read more: 5 Convincing Reasons To Adopt The Headless CMS Sanity.io

7 Business Benefits of Adopting a Headless CMS

1. More flexible

Since headless CMS is API driven, it allows you to build your own head or a presentation layer/ frontend. Besides enjoying the ability to pick your programming language, your developers can develop the website without having to conform to any proprietary development constraints. A single piece of content can be reused or combined with various other presentation outputs enabling faster project completions. 

A headless CMS allows secure and easy integration with any of your existing business systems. Additionally, since it does not have a fixed structure to code, your developers are at liberty to code for any type of integration. This gives them the flexibility to integrate with more complex systems. 

For example, Sanity.io is a popular headless CMS that allows you to embed editable data in running text and cache multiple queries on a single request. It also provides real-time collaboration, content versioning, and live previewing.

2. Supports Omnichannel Selling

For marketers to provide a customer-pleasing experience, each channel used by the business would require access to the current product information and availability. It can be quite a challenge to create iconic content that shines across all touchpoints. Instead, a headless CMS provides the capability to orchestrate a seamless experience across all touchpoints while maintaining consistency and relevance. For instance, Sitefinity empowers brands to deliver a personalized experience across channels.

3. Headless CMS is Future-Proof

A headless CMS enables businesses to future-proof their applications by separating the presentation layer from the data and logic layer. You can structure your content to facilitate future-proofing for new projects. Also, you would not be required to make any technical changes when re-branding one or more channels. Sitecore is a leading headless CMS that offers enterprise-class search and content targeting to boost personalization efforts, among other things.

4. Cost-Effective

It is a lot cheaper for your business team to create a new functionality because headless CMS requires little technical involvement. For example, if your marketing department chooses to create a new series of product mini-sites, they do not have to depend on developers to build CMS-based templates. Instead, the marketing team can directly go to the CMS and start creating the mini-sites as and when required, reducing your up-front costs. Kentico CMS, for instance, comes with tailored custom pricing. Websites of popular brands like Sony and Starbucks are powered by Kentico. 

Read more: Top 6 Tech Stacks That Reign Software Development in 2020

5. Offers Better Software Architecture

A headless CMS is architected to decouple CMS platforms and published content. This strengthens security because access to the CMS is restructured internally within the organization. It increases scalability simply by spinning up a new app server and pointing it to the content. It remains available against all odds because even when the CMS application goes offline, web applications will not have an impact. Episerver, the leading WCM platform supports editors to drag-and-drop content to create new digital experiences quickly.

6. Allows you to do more with less

Organizations will no longer need large teams of specialists with particular CMS knowledge, unlike the requirements for a traditional CMS.

7. Lets You Focus on Your Business

Worrying about your CMS can be time-consuming and distracting. A traditional CMS structure can take your attention away from growing your business. Whereas Headless CMS allows you to use your precious time and resources to grow your business.  Being a multi-tenant system, it is fully managed and upgraded for you. 

Read more: Top 5 benefits of outsourcing software development services

A Step Forward 

Apart from these, there are several other reasons why businesses must consider a headless CMS. The important aspect to consider is how you want to manage and store content for products and articles. This can have an impact on websites, application performance, and conversions. Hence, as marketers, it’s time to take a step beyond traditional CMS.

If you’re considering a headless CMS to improve your digital content experience, send us a message immediately. 

What makes Odoo the best ERP solution for your business?

As business leaders, you may find that you’re spending too much time running your company rather than growing it. You may easily get bogged down due to exhaustive paperwork, long spreadsheets, or have to assemble discrete software to actually work together. This is where the open-source Odoo ERP comes to your rescue. With its vast suite comprising over 40 business productivity applications, Odoo provides a smoother and simpler way to run your business. The range of business apps offered by Odoo is highly comprehensive, fully-integrated, easy to use, and supports numerous different industries. Fingent, utilizing its partnership with Odoo ensures their clients are leveraging one or more apps from Odoo to boost their business efficiencies. 

With Odoo, you can easily create your professional website, manage your relationship with customers, design and launch your own marketing strategies, and manage online payments through e-commerce. You also have Odoo apps to manage your warehouse, accounts, and invoicing behind the scenes. 

Whatever be your business needs, Odoo provides apps that work together seamlessly. Though a relatively young contender, Odoo comes packed with powerful ERP features and a user-friendly interface like any other market leaders such as SAP, Oracle, MS Dynamics, and so on. 

Read more: Odoo CRM Vs SAP CRM: How to Choose Between Them

Here are 5 distinguishing features of Odoo that make it a reliable ERP for any business.

1. Easy to set up and use

Odoo has a very clean, consistent, easy-to-use interface. It is also easy to set up and configure. You can effortlessly carry out an entire transaction all the way from a quotation to the sales order, invoice, and payment due to the consistency between the various applications within Odoo. It helps you to get started within no time.

2. Powerful communication tools

Odoo has powerful inbuilt communication tools. They use messaging systems to keep track of internal communications on either your sales orders, invoices, or purchasing. So if you have a question on your sales order, you can write a message to all the followers of the sales order at the bottom of the documents. Thus, you can attach notes and messages and communicate directly from within the document giving you a great audit trail. All the team members stay on the same page both literally and figuratively!

Read more: Meeting Your HR Requirements with Odoo

3. Integrated front-end and back-end tools

You can have a full-blown website builder with a single click. So, once you install the web platform, you can use it integrated with all the other Odoo applications. Odoo provides powerful e-commerce tools that integrate with your website and are completely tied-in to the web framework. Moreover, the shopping cart looks clean, is built-in to the e-commerce app, and is ready-to-go. Another interesting feature of Odoo is that even if a customer didn’t make it to checkout and has just added items to his cart, you can view it as a draft in Quotations instead of a full Sales Order.

4. Great mobile support

Though Odoo is completely web-based, it looks pretty good on mobile phones and tablets. You even get a mobile preview to check how your website is going to look like. So, unlike a lot of legacy accounting systems that are still trying to catch up, Odoo was founded as a three-tier mobile application platform and it has continued to improve.

5. Powerful enterprise and cloud solutions

Odoo has very powerful enterprise and cloud solutions. You can host it yourself or on Amazon, or on digital cloud. You can also use Odoo.com or Odoo’s own hosted solution. Thus, there are a lot of different ways to host it as Odoo is very cloud friendly. Fingent extends support for deploying Odoo on web servers like AWS and other secure environments.    

Other factors that make Odoo unique

Odoo is highly customizable, completely open-source, utilizes Industry Standard Libraries, and is written in Python. The backend database is PostgreSQL which is also open source. Another important aspect is that you can build custom Odoo Applications without modifying the source code. You can easily upgrade or extend without breaking things.

Read more: A 3-day Odoo CRM implementation story!

Conclusion

The COVID-19 pandemic has taught us that going digital is no longer an option, but a necessity. Choosing the right ERP that suits your business requirements and unlocks the returns on your investment can help you get there. The modular framework has given Odoo a wide functional scope. While using Odoo, enterprises do not need to resort to 3rd party platforms or use additional bridging software to build fully integrated websites. Thus, Odoo supports the uniqueness of each business. This ability to customize every aspect of your system gives you a competitive advantage. And all this can be done at minimal cost, compared to the other ERP systems available in the market. As enterprises have to look at the eventual ROI before implementing an ERP system, Odoo shines because of its functionality, scalability, and affordability. Fingent’s partnership with Odoo ensures your projects are tailored for easy adaptability. Get in touch with us to plan the next dependable Odoo application that will assist in your daily business operations.