How a Fashion Retailer Improved Fill Rates by 50% in Four Weeks
A fashion retailer with 30+ stores managed inventory on spreadsheets and judgement, which led to stockouts and missed sales. Anamind automated inventory management and set clear stock norms, improving fill rates by 50% within four weeks.
Industry: Fashion retail · Business model: Multi-brand retail · Footprint: 30+ stores nationwide
What was getting in the way.
Rapid growth had outpaced the retailer's manual spreadsheets, causing stockouts, missed sales and procurement inefficiencies.
Judgement-based stock management
Inventory decisions relied on individual judgement, not data.
Poor fill rates
Low fill rates at stores and warehouses caused stockouts and missed sales.
No tracking or analysis
There was no system to track demand and stock, spot trends or anticipate needs.
What Anamind put in place.
Anamind replaced the spreadsheets with an automated inventory management approach.
An advanced planning tool centralised inventory control across all stores and warehouses.
Clear norms guide inventory decisions and keep stock levels consistent.
Trend analysis, market share assessment and exception reports.
What changed.
- Fill rates improved by 50% within four weeks.
- Fast, automated forecasting made the business more responsive to changes in demand.
- Higher fill rates boosted sales and customer satisfaction.
- BI-driven demand sensing reports supported data-driven decisions.
The full case study covers the challenge, the approach and the results.
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