E-Commerce
Stay competitive
on every SKU
Zenline’s agents support your
team in managing
assortment
and
pricing across the entire
assortment,
down to the
last product in the long tail.


“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.”
What changes
for
assortment and team

01Product data
that search can useProduct Data Cleaning fills and fixes attributes across the catalog, so filters, search and AI shopping assistants show the right product.
02Prices that keep
up with the marketThe Pricing Agent follows competitor and marketplace prices for comparable products and proposes changes that stay within your margin rules.
03A long tail
without blind spotsThe Assortment Agent compares your assortment with the market, flags gaps and duplicates and shows which long-tail products are worth keeping.
The analysts
the long tail never had
Cleans your own product data: fixes wrong or missing attributes, merges duplicates and maps variants and substitutes, so filters and search work across the long tail.
Learn more about Data AgentReads search, social and competitor listings to show what shoppers look for but can’t find in your catalog, and separates lasting demand from viral spikes.
Learn more about Shopper Insights AgentGroups similar products by attributes, images and shopper behavior, flags gaps, overlaps and slow movers, and suggests what to add, cut or reposition.
Learn more about Assortment AgentCompares your prices with competitors and marketplaces for like-for-like products, flags items priced too high or too low and suggests changes you approve.
Learn more about Pricing Agent
Up and running
1 week
Zenline starts on public data,
so you can start with the
agents without involving IT.
Day 1
Start on public data
Agents read your assortment from your website and from marketplaces.
Week 1
Add internal data
Sales, margin, PIM, inventory, loyalty program, website traffic and promotion data arrive as weekly uploads, without deep ERP integration. Alongside the uploads, your team briefs the agents on its assortment strategy and ways of working.
Every week
Decide with the agents
Every recommendation comes with its reasoning, its sources and the expected effect.
Throughout
Your Zenline engineer
A forward deployed engineer sets up your data, runs the first weeks with you and stays your contact. Nothing for your IT to do.
Case studies

Grocery
The substitution moment, finally working
Case study grocery: Private label mix optimization in dairy

Beauty
More margin for private
label through substitute dataCase study cosmetics: Finding private label substitutes in face creams

Furniture
Catch slow movers earlier
Case study furniture: Recovering gross margin through early velocity signals
