AI-Powered

AI to Optimize Supply Chain Management
Future-Proofing Supply Chains With AI and Data-Driven Intelligence

Businesses today are running their supply chains amid numerous complexities and unplanned disruptions. Thanks to AI, organizations can now manage their supply chains with human-like intelligence, with limited manual intervention.

AI-steered supply chains can lower logistics costs by up to 15%

Limitations of Traditional Supply Chains

From raw ingredients sourcing to last-mile delivery of goods, running a supply chain demands handling complexities, in addition to tackling operational disruptions.
Frequent shifts in consumer demands, price and market volatilities, scarcity of raw materials, labor, and products, changes in trade regulations and tariffs, global disruptions, and a horde of roadblocks decrease the efficiency of supply chains.

Errors in demand forecasting can wreck efficient inventory planning and distribution.

Poor visibility into end-to-end supply chain curbs companies from proactive problem-solving.

Flaws and inefficiencies in scheduling and routing caused by lengthy manual processes.

Rigid workflows and long lead times impede companies from responding to market volatilities.

Rise in shipping demands and fuel costs, and container shortages escalate freight prices.

Fragmented operations create delays as goods or information move through the supply chain.

Future-proof your supply chain workflow with a custom AI solution.

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The Solution:
AI-Driven Supply Chain Optimization

The applications of AI and machine learning in supply chain optimization are manifold. From intelligent demand forecasting to real-time decision-making and routine process automation, AI advances even the most complex of all supply chains.

Forecast upcoming trends in demand by analyzing historical and present data.

Recommend ideal stock levels and reorder points by assessing inventory data.

Compute geospatial data to dynamically alter and optimize delivery routes.

How Does AI Drive Supply Chain Optimization

ML and automation for accurate demand forecasting and inventory planning.
Automate and optimize warehouse and logistics processes and transportation.
Predictive risk management and contingency planning for business continuity.

The Impact of AI in Supply Chain Optimization

improvement in inventory levels
0 %
enhancement in service levels
0 %
drop in logistics costs
0 %

AI-Powered Delivery Route Optimization

reduction in vehicle miles
0 %
decline in carbon emissions
0 %

Benefits of Utilizing AI Agents in Optimizing Supply Chains

Independent execution of interconnected tasks in the supply chain workflow.

Continuous assessment of real-time data to autonomously re-optimize delivery routes.

Agents rigorously learn from every transaction and disruption, enhancing future decisions.

Constantly monitor equipment health to autonomously schedule maintenance or order replacement parts.

Agents regularly scan for potential risks and proactively trigger alternative plans, such as rerouting shipments.

Agents can process individual customer order data and preferences to optimize the last-mile experience.

Autonomously track and adjust safety stock levels to minimize both stockouts and holding costs.

Automate and optimize your property listings with AI.

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How Fingent Helps Optimize Supply Chains With AI-Based Solutions?

We provide end-to-end solutions across consulting, technology intervention, and managed services to optimize and run supply chain operations, including inventory management, demand forecasting, and production planning. Our solutions include:

Custom logistics and supply chain management software development

Custom software solutions for inventory and order management

AI-powered solutions for monitoring and notifying supply chain risks

Delivery route optimization using AI, location tracking, and geospatial data

Development of custom, AI-based warehouse management software

Purpose-built enterprise solutions for freight management, asset tracking

Cloud- and mobile-based supply chain management software

Custom supply chain ops analytics dashboards and visualizations

Key Takeaways

AI is revolutionizing supply chain optimization in novel ways:
Explicit demand projection minimizes errors in planning inventory, production, and delivery.
On demand optimization of delivery routes to improve the speed and efficiency of last-mile delivery.

Predictive intelligence to analyze and avert any potential risks in supplier selection.

360° supply chain visibility enables proactive problem-solving and timely product availability.

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