AI agents for Retail & E-Commerce
AI in retail: product data, enquiries and stock under control.
Between inventory management, shop, marketplaces and customer service, retail produces manual work every day that nobody sees — until it's missing. Our digital employees keep data and service up to date.
The short answer
In retail, AI agents take over the data and service routine: creating and maintaining product data, answering delivery status enquiries automatically, monitoring prices and stock across all channels. That reduces errors, speeds up listings and takes real pressure off customer service.
A glimpse of processes we take over for Retail & E-Commerce
Sound familiar?
The most common time sinks in Retail & E-Commerce
Product listings cost real manual work per item
“Where is my order?” enquiries flood the support inbox
Prices and stock drift apart between systems
Cross-channel reporting is tedious
Each of these is a recurring process — and therefore automatable. Which one costs you the most time?
Concrete use cases
Four examples that deliver impact fast — out of many
This is just a glimpse: we automate any process that regularly costs you time. Tell us your biggest time sink — we'll tell you honestly what's possible.
Product data maintenance
New items are created from supplier data, descriptions are written SEO-ready and kept consistent across shop and marketplaces.
Service automation
Delivery status, returns and standard questions are answered by the agent immediately — with access to your real order and shipping data.
Price & stock monitoring
Discrepancies between systems, critical stock levels and price changes are detected and reported before they cost revenue.
Channel dashboard
Revenue, return rates and contribution margins from all channels in one overview — updated daily, without Excel gymnastics.
100 % integration — even without APIs
The most common objection: “Our software can't do that.” Our approach: if there is no interface, our agents work with documents, exports, emails or directly on the user interface — like a human employee. That's why “impossible” isn't in our vocabulary.
See all services100 %
connectivity to your systems
24/7
on duty — no holidays, no sick days
+10 hrs
back per week (typical result)
How it works
From intro call to digital employee — in four steps
Initial consultation
You tell us which process in your day-to-day Retail & E-Commerce work costs the most time — free and with no obligation.
Process analysis (fixed price)
We look at systems, data sources and edge cases. The result is an implementation plan with a fixed price.
Pilot within weeks
Your first digital employee goes into test operation on your real data — with your approval at every critical step.
Operation & expansion
Once the pilot runs, the agent takes over for good. Then we automate further time sinks step by step.
Frequently asked questions
AI in Retail & E-Commerce: the key answers
Does this work with our inventory management system?
Very likely, yes. We integrate with modern as well as legacy systems — if necessary via exports, files or the existing user interface instead of an API.
How much of our support volume can be automated?
Standard enquiries such as delivery status, returns and product questions make up the majority in many shops — exactly these are answered by the agent instantly, around the clock.
Does the AI write product copy as well?
Yes, based on your supplier data and your style — including SEO optimisation. Approval stays with you.
What about multiple sales channels (shop, Amazon, eBay)?
That is exactly where the agent pays off: it keeps data, prices and stock consistent across all channels and flags discrepancies.
How quickly does it pay for itself?
With daily data maintenance and high enquiry volumes, typically within a few months — in the intro call we walk through the numbers for your case.
Which process costs you the most time?
In a free intro call we'll tell you honestly whether and how automation pays off — specifically for your business.
Request your free intro callNo obligation · Reply within one business day