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STOX Energy Socks

E-commerce & tech

One platform, five sales channels, full clarity

STOX relied on Excel and manual exports across five channels. Now contribution margin by channel and country is live.

STOX Energy Socks case image

Client

STOX Energy Socks

Industry

E-commerce & tech

Service

Financial & Operational Analytics

Stack

Python, BigQuery, dbt, Looker

Market

Europe, Middle East

At a glance

3 wks

from kick-off to first automated insights

The challenge

Managing five channels by hand. Slow and unreliable.

STOX Energy Socks had built a solid multi-channel business. Selling compression socks via their own webshop, multiple online marketplaces, and a B2B channel across more than ten countries. But their reporting hadn't kept up.

Key financial metrics such as contribution margin by sales channel, gross margin by country, and the revenue split between new and returning customers were managed in Excel. Data had to be manually extracted from multiple source systems and stitched together. Comparing actual performance against the business plan was equally time-consuming and always slightly out of date.

Stock management was another challenge. Without reliable visibility into inventory trends, the team had no way to anticipate shortages and was forced to rely on intuition instead of data.

The approach

Connect everything, start delivering, build from there

We agreed on a clear goal upfront: an automated breakdown of contribution margin per sales channel and country, and reliable stock level monitoring to prevent shortages. Everything else was secondary.

We connected source systems one at a time by using a modular approach which led to the first reports being ready within several weeks. That quick access allowed STOX to give detailed feedback as we built, which improved the quality of everything that followed.

Analyses that previously required hours of work, manual downloads from different systems or weren't even possible due to the sheer data volume, are now available at a glance. This enabled end users to gain a much better understanding behind the main drivers for revenue, profitability and customer behavior.

The results

Data that finance and operations can use to optimize their business

€100K

saved through improved insight into price discounts

2x

fewer stock outs and daily updated insights in stock levels across warehouses

5x

faster financial reporting across all channels

Is everyone in your company looking at different numbers?

Let’s change that.