By industry
AI & Automation for Retail & eCommerce
Handle peak without hiring for peak
We design around
- DPDP Act 2023
- PCI DSS
- GDPR (EU-facing sales)
- Consumer protection e-commerce rules
- 65%
- Support tickets auto-resolved at peak
- 99.98%
- Availability through sale events
- 4x
- Catalogue listing throughput
With rehearsed load testing beforehand
What we hear
The problems that bring people to us
If several of these describe your week, there is almost certainly something worth automating.
- Support volume spikes on sale days and overwhelms the team
- Catalogue data inconsistent across marketplaces and channels
- Returns and refunds processed manually, slowly
- Infrastructure that struggles at exactly the wrong moment
- Stock and pricing decisions made on stale reports
What we build
Where automation pays off in retail & ecommerce
Support automation for the top ticket types
Order status, returns initiation, address changes and refund eligibility resolved automatically, including the action in your commerce and payment systems. Peak-day volume stops being a staffing problem.
Catalogue enrichment
Generate and normalise titles, attributes and descriptions per channel from source product data, with brand rules enforced. Removes the manual work behind every marketplace listing.
Returns and refunds
Policy eligibility checked automatically, refund issued within agreed limits, exceptions routed to a person with the case assembled. Faster resolution, consistent policy application.
Peak-ready platform
Load-tested infrastructure with autoscaling proven before the sale, not during it. We rehearse peak in a copy of production and fix what breaks while it does not matter.
Demand and stock signals
A modelled data layer combining sales, returns, marketing and stock so decisions come from current numbers rather than last week's export.
Retail's problem is variance
Average load is easy. The difficulty is the Tuesday in October when a campaign lands and volume goes up eightfold — for support, for checkout, for the warehouse.
Staffing for peak is expensive and staffing for average means peak hurts. That asymmetry is exactly what automation and elastic infrastructure address, and it is why retail sees returns faster than most sectors.
Support first, then catalogue
Support automation gives the fastest visible return because the top three ticket types are usually a large share of volume and all have verifiable answers from your commerce data. Order status, returns and address changes are close to ideal candidates.
Catalogue enrichment comes second and is the quieter win: consistent, complete attributes across channels improve conversion and search placement, and the manual version never quite gets finished.
Where the platform work matters
An outage during a campaign costs more than the campaign. NoOps covers the 24x7 side of this, which matters in retail more than most sectors — traffic does not respect business hours, and neither do failures.
FAQ
Questions we get asked
Talk to someone who has worked in retail & ecommerce
Bring a process that annoys you. In 30 minutes we will tell you whether AI helps, what it would cost, and where it would fail — even if the answer is don't bother.
Or email [email protected] · we reply within 1 business day