AI & Generative Tech · Retail

AI-Powered Inventory & Demand Forecasting

An AI-powered retail intelligence platform that predicts demand, optimizes inventory levels, and automates replenishment decisions. Uses machine learning models trained on historical sales data, seasonal patterns, and external factors to forecast demand with 92% accuracy. The platform serves 500+ retail stores and processes 10M+ SKUs daily. Features include automated purchase orders, markdown optimization, supplier management, and real-time inventory alerts. Our solution reduced stockouts by 40%, decreased excess inventory by 35%, and improved profit margins by 18% through intelligent demand forecasting and inventory optimization.

RetailAI: AI-Powered Inventory & Demand Forecasting
Client
RetailAI Solutions
Sector
Retail
Scope
AI & Generative Tech
Timeline
9 months
The challenge

What we had to solve

The solution

What we built

92% forecast accuracy, 40% stockout reduction, 35% excess inventory decrease, 18% profit margin improvement, 500+ stores

  1. Before: Processing large volumes of sales data

    After: Built distributed data processing pipeline

  2. Before: Real-time demand forecasting

    After: Implemented real-time ML inference

  3. Before: Integrating diverse data sources

    After: Created unified data integration framework

  4. Before: Model accuracy across product categories

    After: Trained category-specific models

  5. Before: Handling seasonal variations

    After: Developed seasonal adjustment algorithms

Also in the build

  • AI-powered demand forecasting

  • Automated inventory optimization

  • Purchase order automation

  • Markdown optimization

  • Supplier management

  • Real-time inventory alerts

  • Multi-store support

  • Seasonal pattern analysis

  • External factor integration

  • Custom ML model training

  • Analytics dashboard

  • API for integrations

How we worked

The stack behind it

Delivered over 9 months.

Technologies

Python · TensorFlow · PyTorch · Scikit-learn · Pandas · NumPy · React · Next.js · Node.js · PostgreSQL · Redis · AWS SageMaker · Apache Spark · Kafka · Docker · Kubernetes · MLflow

Built with

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