AI automation for
ecommerce.
AI automation for ecommerce brands: product data, customer messages, returns handling and daily trading reports, with the team approving what customers see.
AI automation for ecommerce runs the fixed, repeating jobs behind a store: product data is cleaned and written up, customer messages are sorted and drafted, returns are processed against policy and trading reports arrive each morning. The team approves anything a customer will see.
Where the hours
actually go.
The pattern we see in ecommerce and direct-to-consumer brands.
- New products wait days for descriptions and attributes.
- The same order questions fill the inbox.
- Nobody sees yesterday's numbers until mid-morning.
Four places it
pays off.
We start with one, prove it, then move to the next.
- 01
Product data
- Writing descriptions from supplier sheets
- Standardising sizes and attributes
- Preparing marketplace feeds
- 02
Customer service
- Sorting messages by type
- Drafting order-status replies
- Escalating complaints
- 03
Returns
- Checking requests against policy
- Issuing return labels
- Updating stock records
- 04
Trading reports
- Daily sales and margin summary
- Ad spend against revenue
- Low-stock alerts
Daily trading report,
automated.
An illustration of how one process changes. Every build is designed around your own systems.
Before
Someone exports figures from the store, the ad platforms and the warehouse each morning and pastes them into a spreadsheet.
After
- 01
Overnight, sales, ad and stock figures are collected from each system.
- 02
They are combined into one view by product and channel.
- 03
Anything unusual is flagged: a spike, a stock-out, an ad overspending.
- 04
A short summary lands in the team channel before the working day starts.
AI automation for ecommerce,
answered.
Which ecommerce platforms does it work with?
The major store platforms and marketplaces allow the connections needed. We confirm yours first.
Will it change prices or issue refunds on its own?
No. Price changes, and refunds outside policy, are proposed for a person to approve.
Is it worth it for a small team?
Often more so. Small teams with large catalogues feel repetitive work the most.
- Marketing for ecommercePaid media, fast creative testing and retention, measured on margin.
- AI automation for ecommerceProduct data, customer messages, returns and daily trading reports, run on fixed steps.
- Agentic AI for ecommerceAgents for catalogue upkeep, service triage, stock and price watching, and reporting.
AI automation for
other businesses.
- AI automation
AI Companies
- AI automation
Marketing Agencies
- AI automation
Fintech
- AI automation
B2B Companies
- AI automation
Private Equity
- AI automation
Law Firms
- AI automation
Accounting Firms
- AI automation
Real Estate
- AI automation
Recruitment
- AI automation
Insurance Brokers
- AI automation
Logistics
- AI automation
Healthcare Clinics
Have a problem worth solving?
Send us a note or an email. We will keep the first conversation practical.