Real-time inventory intelligence platform for a multi-channel retailer
Disconnected inventory data across 4 systems was causing stockouts and overstock simultaneously. We built a unified data lakehouse with real-time demand forecasting and automated replenishment triggers.
Data & AI Platforms, in production.
What stood in the way.
Inventory lived in four systems that did not agree with each other. The retailer was simultaneously stocking out of products customers wanted and overstocking products they did not, because no one had a single, current view of what was actually on hand and what was about to sell.
How MetaSys built it.
Unified the four inventory sources into a single data lakehouse with one reconciled view of stock.
Built real-time demand forecasting on top of the unified data so the signal reflected what was happening now, not last week.
Wired automated replenishment triggers to the forecast so reorders fired on evidence rather than guesswork.
Gave the team live visibility into inventory across every channel from one place.
What changed for the business.
With one real-time view of inventory and forecasting driving replenishment, the retailer cut stockouts meaningfully while reducing the overstock that had been tying up working capital. Decisions that used to rely on stale spreadsheets now run on current data.
The MetaSys capabilities behind this build.
Have a system like this in mind?
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