Enriches products
Organises attributes, descriptions, technical data and variant relationships.
More catalogue scale.
Not more chaos.
We automate the processes that grow with catalogue size, channel count and customer expectations: product data, content, classification, feeds, orders, returns and operational exceptions.
Discuss this scopeDelivery6–16 weeks
Modelmodule or automation programme
OutcomeConsistent data and faster commerce operations, with quality control and a path to scale across brands and channels.
The operating problem
Commerce growth creates an invisible factory of manual tasks.
As catalogue and channels grow, corrections, classification, synchronisation and non-standard cases consume work that standard modules do not handle.
- 01
Supplier data is inconsistent and requires manual cleaning.
- 02
Content, attributes and classification develop more slowly than the catalogue.
- 03
Feed and sales-channel errors are discovered too late.
- 04
Order, return and claim operations require switching between many tools.
How the system works
The agent protects quality across the catalogue flow.
Product expertise, data and commercial rules become a repeatable process rather than knowledge trapped in spreadsheets.
Classifies the catalogue
Assigns categories, filters, applications and merchandising rules.
Controls feeds
Detects missing data, rejections, price discrepancies and publishing issues.
Supports content and SEO
Creates fact-based content aligned with user intent and brand standards.
Handles exceptions
Combines order, payment, stock and delivery data to identify the next action.
What you receive
A complete capability.
Not a loose prototype.
Every delivery combines process logic, working technology and the control required for people to trust it.
Data and quality model
Rules for completeness, consistency and ownership of product information.
Commerce operations agents
Roles for catalogue, content, feeds or order-exception handling.
Channel integrations
Connections to commerce platform, PIM, ERP, marketplaces and data suppliers.
Control interface
Priorities, errors, approvals and quality metrics in one view.
Delivery path
From operating reality
to a live process.
Audit the data flow
Review sources, quality, manual corrections and catalogue ownership.
Build the standard
Define the product model, content, classification and acceptance criteria.
Automate the module
Launch agents, integrations and human control for the selected scope.
Expand at scale
Add categories, suppliers, brands and channels based on measured quality.
Qualification
Is this the right
scope for you?
A clear fit protects time, budget and trust on both sides. We will say directly when another starting point is more responsible.
A strong fit when
- Catalogue or channel count is growing faster than the team’s operational capacity.
- The company has multiple product data sources and repeatable quality rules.
- Data errors affect sales, visibility or customer service workload.
- Automation must reflect specialist products rather than generate generic content.
Choose another path when
- The shop has a small, rarely changing catalogue.
- The problem is only a one-off data migration.
- Nobody owns the product data standard.
05 / Commerce Operations Automation
Show us where the catalogue creates the most work.
We will begin with one data flow or product group and demonstrate how to measure quality before scaling.
Next step
Let's start with one
process that hurts today.
In our first conversation, we will identify the area with the greatest potential and test whether agentic automation makes business sense.
Book a process conversation