E-commerceDemand Forecaster

ShopMax Retail

30% reduction in stockouts

Fewer stockouts

30%

Best-sellers stayed on the shelf through demand spikes.

Industry: E-commerce
SKUs: 45,000+
Warehouses: 6 regional DCs
Go-live: 10 weeks

Overview

About the Client

A fast-growing omnichannel retailer stopped guessing demand — and cut both stockouts and the cost of carrying inventory.

ShopMax Retail is an omnichannel retailer with 45,000+ SKUs moving through six regional distribution centers. Growth was outpacing the spreadsheets its planning team relied on, and the business was losing margin at both ends — empty shelves on hot products and overstock on everything else.

ShopMax wanted demand forecasts accurate enough to drive purchasing automatically, not just inform it.

Forecasting 45,000 SKUs without a single spreadsheet

The Challenge

What stood in the way

Spreadsheet-driven planning couldn't keep up with SKU count, seasonality, or channel complexity.

1Frequent stockouts on best-sellers drove customers straight to competitors.
2Overstock on slow movers tied up cash and warehouse space.
3Promotions and seasonality were impossible to model by hand.
4Each channel was forecast in isolation, so transfers were reactive.
5Planners spent days rebuilding forecasts instead of acting on them.

The Solution

How we solved it

We deployed the Demand Forecaster across the full catalog, learning per-SKU, per-location demand and feeding replenishment directly.

1Unified sales, channel, and inventory data into a single feed.
2Trained per-SKU, per-location demand models with seasonality and promo effects.
3Generated automated replenishment recommendations by distribution center.
4Integrated forecasts with the ERP and purchasing workflow.
5Set up continuous accuracy monitoring with automatic retraining.

The Results