Niche fragrance house distributing across EU and UK retail partners. Data work cut by 95%.
The challenge
As BIBBI’s retail footprint grew, so did the complexity of its reporting. Each retail partner delivered sell-out data in different formats, structures, and levels of detail. There was no unified view of performance across SKUs, stores, or time periods.“The biggest challenge was that all our customers reported in different ways, which made it difficult to get a collective picture of our sell-out performance. We lacked the possibility to easily compare results between months and years and to analyze development per SKU.” — Stina Seger, Founder, BIBBI ParfumThe team spent multiple days each month collecting, cleaning, and restructuring data, leaving little time for analysis and forward-looking decisions.
The solution
BIBBI partnered with TaskifAI to centralize and standardize sell-out data from all retail partners. TaskifAI transformed disparate Excel files into a single structured dataset, making performance analysis consistent and repeatable across time periods, SKUs, and stores.- Data centralization: aggregated data from all retail touchpoints into one system
- Standardization: converted varying retailer formats into a unified structure
- Granular analysis: performance tracking at both SKU and store level
The results
95% less data work
What previously took several days each month now takes a fraction of the time.
Smoother investor reporting
Standardized historical data made performance easy to communicate to stakeholders.
Better production planning
SKU-level insight now guides assortment and manufacturing decisions.
“We can now clearly access performance data that makes it possible to compare different periods, analyze development over time, and follow our growth curve. Being able to rank performance at both SKU and store level gives us much better insight into what drives sales.” — Jan Vilhelm Ahlgren, Founder, BIBBI Parfum
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