Publishing / Retail Distribution / Supply Chain

AI-Powered Educational Publishing & Retail Supply Chain Platform

Unified control tower for demand forecasting, procurement planning, retailer replenishment, and inventory aging control

Industry
Publishing / Retail Distribution / Supply Chain
Industry
Publishing / Retail Distribution / Supply Chain
Scope
Demand Forecasting, Procurement & Supplier Intelligence, Retailer Replenishment & Consignment Management, Inventory Aging & Obsolescence Control, Supply Chain Visibility, Traceability & Margin Optimization
Outcomes
One unified AI-driven control layer connecting forecasting, procurement, replenishment, and inventory control across a multi-title retail network
01

The Challenge

A large catalog of 2,000+ titles, long overseas lead times (4–8 months), seasonal demand spikes, and fragmented retail distribution created major planning complexity

02

Our Solution

AI-powered control tower integrating POS, ERP, warehouse, supplier, and retailer data into a single decision layer
Title- and channel-level demand forecasting distinguishing between seasonal, promotional, and evergreen products
Forecast confidence scoring, bias detection, and seasonal uplift visibility for better planning decisions
Supplier lead-time prediction and procurement intelligence for optimized buying and reduced overstock risk
Purchase-order planning linked to demand forecasts, MOQ constraints, and inventory risk exposure
Retailer replenishment dashboard with sell-through tracking, stock visibility, and next-best-order recommendations
Consignment inventory visibility across partner outlets with aging and performance tracking
Inventory aging and noncurrent stock alerts to proactively manage slow-moving and obsolete titles
AI-driven classification of inventory into rebalance, discount, reprint, or retire categories
Unified dashboards aligning sales, procurement, and operations teams on real-time insights

Impact

1
Reduced Noncurrent Inventory Risk
Proactive aging alerts and demand-linked planning helped reduce exposure to slow-moving and obsolete stock
2
Improved Forecast Accuracy
Title- and channel-level forecasting improved planning across seasonal and evergreen products
3
Better Procurement Decisions
AI-driven lead-time and MOQ planning reduced overbuying and emergency purchasing
4
Enhanced Retailer Service Levels
Improved replenishment visibility ensured better product availability across 4,000 outlets
5
Optimized Consignment Inventory
Real-time sell-through tracking improved stock allocation and reduced excess partner inventory
6
Stronger Margin Protection
Early detection of aging inventory reduced markdowns and improved working capital efficiency
✦ Full Deep-Dive

Get the Complete Case Study

Download full PDF

Contact