Retail & E-commerce AI/ML
Demand forecasting and inventory optimisation across 320 stores
Replacing store-manager intuition with per-SKU forecasting that accounts for seasonality, weather and the promotion calendar.
Read case studyIndustries
Retail & E-commerce
Thin margins make every point of inventory or stockout matter. BigAI focuses on the problems that move cash directly.
Context
Data challenges specific to this industry
The barriers BigAI encounters repeatedly across companies in this sector.
Start with the cash-flow problems
In retail, the two use cases that pay back fastest are almost always demand forecasting and inventory allocation. Both hit working capital directly, and both are measurable after a single selling season.
Data scattered across channels
In-store POS, website, marketplaces and warehouse systems that never combine into one picture.
Forecasting by gut feel
Ordering based on store manager intuition, producing slow-moving stock and stockouts at the same time.
Applications
Problem → Solution → Measurable benefit
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| Business problem | BigAI solution | Measurable benefit |
|---|---|---|
| Slow-moving stock and stockouts at once<br><span class="small muted">Ordering by experience</span> | Forecasting per SKU and store, accounting for seasonality and promotions | +18% revenue per store |
| No unified omnichannel revenue view<br><span class="small muted">Every marketplace reports separately</span> | DataHub consolidating POS, web and marketplaces into one platform | Daily consolidated report every morning |
Case studies
Projects in this industry
Retail & E-commerce Generative AI
An internal AI assistant for 4,200 store staff
Promotion rules changed weekly, so store staff kept calling head office. The assistant answers on the spot and always cites the source document and its effective date.
Read case studyCompliance
Designed to clear the approval process
Customer data protection
Identifiers masked in the analytics environment, aligned with Decree 13/2023.