Inventory Optimization AI Agent

Wipro's Inventory Optimization AI Agent is a cutting-edge solution designed to transform retail inventory management through intelligent automation and multi-agent orchestration. Built on AWS infrastructure with LangGraph workflow coordination, the system deploys seven specialised AI agents to deliver end-to-end inventory intelligence, seamlessly integrating with enterprise systems for autonomous supply chain optimisation.

Multi-Agent Architecture & Capabilities

Data Ingestion Agent:

• Aggregates multi-source data including POS sales, ERP stock levels, supplier lead times, and warehouse capacity. Data is processed and stored in Amazon OpenSearch for efficient retrieval and semantic querying across the entire supply chain ecosystem.

Demand Forecast Agent: • Leverages AWS Forecast to predict demand across SKUs and store locations for 2-3 months, incorporating historical sales patterns, seasonal trends, promotional impacts, and external market conditions with 87.5% accuracy.

Inventory Optimization Agent: • Applies advanced EOQ models, safety stock calculations, and dynamic business rules (min/max thresholds) to generate optimal reorder plans while balancing carrying costs and service levels.

Warehouse Intelligence Agent: • Analyses storage capacity, picking efficiency, space utilisation, and operational constraints to align inventory decisions with warehouse capabilities and labour productivity.

Market Analysis Agent: • Assesses external trends, competitor pricing, economic indicators, and supply chain disruptions to refine demand forecasts and identify market opportunities. • Risk Detection Agent: • Proactively identifies anomalies including stockout risks, overstock situations, supplier delays, quality issues, and warehouse bottlenecks using machine learning pattern recognition.

Explanation Agent: • Powered by Amazon Bedrock, generates human-readable recommendations, risk assessments, and actionable insights to support strategic decision-making with full audit trails.

Features:

Autonomous Operations • AI agents operate with configurable autonomy levels • Automated purchase order generation with approval workflows • Exception handling and escalation protocols • Real-time decision validation and compliance checking

Advanced Analytics Dashboard • Real-time KPI tracking: forecast accuracy (87.5%), SKU coverage (1,247+ SKUs) • Cost savings monitoring (up to $1.25 lakh per quarter) • Service level performance (95%+ availability) • Inventory turnover and carrying cost optimisation metrics

Business Rules Engine • Multi-level approval workflows and authorisation controls • Customisable business logic and constraint management • Strategic goal alignment and policy enforcement • Integration with existing governance frameworks Measurable Business Impact

Cost Optimisation • 15-25% reduction in inventory carrying costs • $1.25 lakh+ quarterly savings through optimised stock levels • Reduced waste from expired or obsolete inventory • Lower storage and handling operational expenses

Service Excellence • 95%+ product availability and service levels • 40% reduction in stockout incidents • Improved customer satisfaction and retention • Enhanced operational efficiency and productivity

Strategic Advantages • Real-time visibility across entire supply chain • Proactive risk management and mitigation • Data-driven decision making with AI insights • Scalable architecture supporting business growth

Target Industries: Retail chains, e-commerce platforms, wholesale distributors, manufacturing companies, and any business with complex inventory management requirements seeking AI-driven supply chain optimisation.

AWS Services: ECS, Fargate, Forecast, Bedrock, SageMaker, S3, RDS, OpenSearch, Kinesis, Lambda, IAM, Application Load Balancer