Logo
  • Cases & Projects
  • Developers
  • Contact
Sign InSign Up

Here you can add a description about your company or product

© Copyright 2025 Many.Dev. All Rights Reserved.

Product
  • Cases & Projects
  • Developers
About
  • Contact
Legal
  • Terms of Service
  • Privacy Policy
  • Cookie Policy
AI-Powered Demand Forecasting and Inventory Optimization System for Retail Chain
  1. case
  2. AI-Powered Demand Forecasting and Inventory Optimization System for Retail Chain

This Case Shows Specific Expertise. Find the Companies with the Skills Your Project Demands!

You're viewing one of tens of thousands of real cases compiled on Many.dev. Each case demonstrates specific, tangible expertise.

But how do you find the company that possesses the exact skills and experience needed for your project? Forget generic filters!

Our unique AI system allows you to describe your project in your own words and instantly get a list of companies that have already successfully applied that precise expertise in similar projects.

Create a free account to unlock powerful AI-powered search and connect with companies whose expertise directly matches your project's requirements.

AI-Powered Demand Forecasting and Inventory Optimization System for Retail Chain

plavno.io
Retail
Food & Beverage

Challenges in Demand Forecasting and Inventory Management

Existing out-of-the-box demand forecasting solution with 30% accuracy caused overstocking, low on-shelf availability (≤50%), and high days sales of inventory (27 days), leading to lost sales and profits

About the Client

Food retailer with 83 stores, 4,000+ employees, and 9,000+ SKUs undergoing digital transformation to support growth

Objectives for AI-Driven Forecasting Solution

  • Increase demand forecasting accuracy to 90%
  • Reduce days sales of inventory from 27 to 18 days
  • Improve on-shelf availability to 75% across all stores

Core System Functionalities

  • Machine learning-powered demand forecasting engine
  • Real-time inventory turnover tracking dashboard
  • Automated stock replenishment recommendations
  • Multi-store performance analytics
  • Integration with existing merchandise management systems

Technology Stack Requirements

Artificial Intelligence
Cloud Computing
Big Data Analytics
Machine Learning

System Integration Needs

  • POS Systems
  • Existing Merchandise Management Platform
  • Inventory Tracking APIs

Operational Requirements

  • High scalability for 100+ stores
  • 99.9% system uptime
  • Data security compliance
  • Real-time processing capability

Expected Business Impact of AI-Driven Forecasting

Projected 33% reduction in inventory holding costs, 50% improvement in stock availability, and 20% revenue growth through optimized inventory management, enabling rapid expansion of 15 new stores within six months

More from this Company

Development of an AI-Powered Customer Service Assistant for a Travel Company
Smart Home Energy Optimization Platform Development
Adventure Travel Planning Platform Development
Multi-Blockchain NFT Marketplace Development with Smart Contract Optimization
Smart Laundry Management App with Cross-Platform Integration and B2B Expansion