Fashion & sports

Faster stock turns with reliable availability

Logio implemented inventory optimization software to help buyers order with precision while accounting for long supplier lead times.

Outcome

The solution restructured inventory, accelerated stock rotation, raised service levels, and reduced purchasing errors despite lead times from Asia of up to five months.

About ČERVA

CERVA GROUP a.s. develops and distributes workwear, footwear, gloves, and other personal protective equipment. Founded in 1991, the company has grown from a small local business into a pan‑European player with global reach.

14 branches

1,100+ employees

Annual turnover over 240 milion EUR

Initial challenge

Slow stock turnover, dependency on irreplaceable sales staff, and poor product availability.

Project goal

Stabilize availability and improve working capital by restructuring inventory and guiding purchasing decisions with accurate lead‑time‑aware planning.

Solution

Plan to demand, buy with confidence

We deployed an inventory optimization solution that embeds supplier lead times into ordering logic and provides clear guidance for buyers.

01

Diagnose baseline and pain points

Mapped turnover, availability, and purchasing workflows to find root causes.

02

Model demand and lead times

Integrated five‑month supplier lead times from Asia into ordering parameters.

03

Automate ordering guidance

Configured reorder logic and exception alerts to support timely, accurate purchases.

04

Monitor and refine

Tracked service level and stock turns with KPIs, adjusting parameters as needed.

 

Solutions implemented

Replenishment & Allocation Management

KPI Design & Performance Monitoring

Demand Forecasting & Inventory Optimization

Reporting Automation

Impact

Improved availability with faster stock turns

Faster inventory turnover

Stock rotation accelerated as purchasing aligned to demand and lead times.

Higher service level

Better availability supported customer orders more consistently.

Fewer purchasing errors

System guidance reduced manual mistakes and missed seasons.

Structured inventory

Restructured portfolio matched demand patterns and supplier constraints.

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