Fashion & sports

From reports to proactive decisions

Logio partnered with Arctic Fox to design and deploy a modern, intuitive, and proactive business intelligence tool powered by advanced algorithms.

Outcome

The solution helped Arctic Fox become data‑driven, guiding decisions on product listing, inventory structure, promotions, and seasonal preparation during a volatile retail period.

About Arctic Fox

Arctic Fox s.r.o. is a Czech distributor and retail partner for Fjällräven, operating brand stores and the official e‑shop in the Czech Republic and Slovakia. Founded in 2011, the company runs six Fjällräven stores and an online business across both markets. In 2024, Fenix Outdoor acquired a 30% stake in Arctic Fox.

Founded in 2011

Six Fjällräven stores in CZ and SK

Operates fjallraven‑shop.cz e‑commerce

Initial challenge

The pandemic disrupted traditional retail channels and accelerated e‑commerce. Arctic Fox needed to navigate the shift and avoid lost sales and excess risk.

Project goal

Use lockdown time wisely to become data‑driven and implement a proactive BI tool that answers key business questions, not only reports on the past.

Solution

Turning data into action

We designed a BI solution that responds to core commercial questions with advanced algorithms and clear decision support.

Define priority decisions

Clarified the key business questions for listing, inventory structure, promotions, and seasonal planning.

Build the factual baseline

Analyzed historical data and trends to anchor decision logic in evidence.

Develop a proactive BI tool

Created a modern, intuitive solution that surfaces algorithm‑driven recommendations instead of static reports.

Enable teams and scale adoption

Rolled out the tool to support e‑commerce growth and resilient day‑to‑day retail decisions.

Assortment Strategy & Rationalization

Reporting Automation

KPI Design & Performance Monitoring

Data Visibility & Accessibility

Impact

Confident decisions in a volatile retail year

Data‑driven culture

Arctic Fox moved from reactive reporting to proactive, algorithm‑guided decisions.

Better seasonal readiness

Recommendations help prepare for peak seasons with focus and speed.

We tackled many supply chain challenges

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