AI & Automation: Driving the Next Generation of Supply Chains

NextGen Invent is a global leader in AI-driven supply chain software development services, empowering businesses to navigate complexities with precision, agility, and foresight. Leveraging Generative AI, machine learning, IoT, and automation, we deliver end-to-end logistics and supply chain management AI and automation services that optimize efficiency, reduce costs, and ensure seamless operations.

Key Achievements

250+ Processes Automated | 40% Operational Efficiency Gain | 30% Labor Time Savings

Our Expertise

Smart Supply Chain Strategy

Improve profit margins, reduce risks, and boost resilience with agile supply-chain expertise.

Agile Warehouse Management

Improve workflows: optimize labor, movement, and material management.

Dynamic Returns Management

Improve customer satisfaction, enhance restocking, minimize losses, and streamline returns with optimization.

Automated Allocation & Resource Management

Streamline procurement with smart allocation, timing, and cost analysis.

Predictive Inventory Management

Predict shortages, optimize stocking, and boost efficiency with intelligent automation.

Data-Driven Transportation Management

Cut costs with AI-driven routing, freight optimization, and efficient logistics.

NextGen Invent’s AI Blueprint or Strategy Map for Improved, Resilient Supply Chains!

Strategic Planning AI

Scenario Analysis
Risk Assessment

Assortment Planning AI

Consumer Trend Analysis
Inventory Optimization
Price Elasticity Modeling

Product Design AI

AI-Based Product Performance Testing
ML-Based Pricing Optimization

Forecasting AI

Demand Forecasting
Capacity Planning

Procurement AI

AI-Based Supplier Risk Assessment
Supplier Segmentation
Spend Analytics

Order Management AI

AI in Invoice, Supply, and Payment Failure Detection
AI-Based Claim Intake and Triaging
AI-Based Claim Cost Forecasting

Yard Management AI

AI-Based Vehicle Tracking
AI-Powered Dock Scheduling

Labor Management AI

AI What-If Impact Analysis
Intelligent Scheduling Engine

Supply Chain AI

AI-Powered Logistics Optimization
Smart Routing Algorithms

Retail AI

AI-Driven Customer Personalization
Intelligent Merchandising

Revolutionizing Warehouses: AI Use Cases for Improved, Faster Workflows!

Receiving

Items Defect Detection

Putaway

Dynamic Slotting Optimization
Slotting of Racks for Different Items

Storage

Optimal Storage Locations
Optimized Inventory Placement
Minimize Retrieval Times
Dynamic Storage Reconfiguration

Picking

Smart Picking Automation
In-House Travel Optimization

Packaging

Finding the Desired Wrapper Shape and Size

Shipping

Optimize Delivery Routes
Shipper Option Selection

Maintenance

Predictive Maintenance
Fault Detection and Diagnostics
Warehouse AI Agent

AI Use Cases Transforming Transportation & Logistics

Order Management

Automated Order Processing
Smart Inventory Management
Predictive Demand Forecasting

Shipment Rate Management

Real-Time Shipping Status Updates
AI-Powered Delay Predictions
Automated Alert Systems

Load Planning

AI-Driven Load Optimization for Maximum Capacity Utilization
Multi-Stop and Backhaul Route Optimization
Dynamic Load Balancing to Reduce Empty Miles

Tendering

Optimal Carrier Selections
Automated Decision Support

Route Planning

AI-Driven Route Optimization
Real-Time Traffic and Weather Analysis
Predictive Risk Assessment
Fuel-Efficient Route Selection

Fleet Management

Smart AI Telematics for Safe Driving
AI Dash Cam & Driver Monitoring

Dock Scheduling & Operations

Computer Vision-Based Monitoring for Real-Time Activity Tracking
Automated Vessel Routing
Optimized Container Dwell Time

Key AI-Driven Use Cases

Digital S&OP Control Tower

Real-time visibility into inventory, demand, and production to minimize stockouts.

Digital Twin

Create virtual replicas of supply chain networks to simulate scenarios, optimize workflows, and enable data-driven decision-making.

Agentic Analytics

Agentic Analytics leverages AI-driven autonomous agents to optimize supply chain decisions through real-time data insights.

Supply Chain Risk Modeling

Proactively mitigate geopolitical, market, and supplier disruptions.

Predictive Maintenance

Leverage IoT sensors and AI to anticipate equipment failures, reduce downtime, and extend asset lifecycle.