Case Studies
How to work
with AI agents
Shopper insights
OTTO puts Zenline AI agents to work on the assortment
OTTO is now using AI agents to accelerate trend, competitor and assortment analysis.
Read moreZenline AI
now live at OTTO
AI agents for your assortment
Case studies
- Shopper insights
AI agents at work
on OTTO’s assortmentOTTO puts Zenline AI agents to work on the assortment
Grocery
AssortmentThe substitution moment, finally working
Case study grocery: Private label mix optimization in dairy
Electronics
Product data500k SKUs,
cleaned and readyCase study electronics: Cleaning 500k+ SKUs of electronics data
Beauty
AssortmentMore margin for private
label through substitute dataCase study cosmetics: Finding private label substitutes in face creams
Fashion
AssortmentFewer
markdowns at season endCase study fashion: Fixing markdowns through assortment design
Furniture
PricingCatch slow movers earlier
Case study furniture: Recovering gross margin through early velocity signals
What leading
retail voices say
“In a market flooded with overcomplicated tools, Zenline AI brings the clarity and centralization category teams actually need.”
Caroline FuchsAssortment Director, Lapeyre“What previously required weeks of analysis can now happen within a single day, helping us ensure that our assortment reflects what customers are looking for right now and what they will expect tomorrow.”
Dirk SjutsVP Fashion & Sports, OTTO- Health & beauty retailer
“For my daily work as a category manager, this is a real game-changer. It finally lets us talk about trends and capture them in a structured way.”
Category ManagerLeading European drugstore retailer
