Book Strategy Session

Retail

SKU-level demand forecasting for a retail chain

18% fewer stock-outs without raising total inventory

Mid-marketPoor data and stock-outsPostgreSQL

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0%

Fewer stock-outs

0%

Lower carrying cost

0

Agreed sales metric definition

Context

The situation we walked into.

Replenishment ran on store-manager judgement, and channel data never reconciled.

Approach

01
Consolidated POS, warehouse and marketplace data into a modelled warehouse
02
Agreed metric definitions with commercial leadership
03
Built SKU-store forecasts feeding replenishment
04
Delivered exception dashboards for category managers

Result

What changed for the business.

Availability improved while carrying cost fell, and commercial reviews stopped debating which number was right.

Services involved

Data EngineeringTrusted data feeding decisions leaders actually use.Enterprise AIAI that runs inside your business, under your control.Custom SoftwarePlatforms engineered around your process, not the other way round.Cloud & InfrastructurePlatforms that are cheap to run and safe to change.

Industry solution

RetailDemand accuracy, margin protection and connected commerce.

Core technology

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