Industry · E-commerce
AI for e-commerce teams handling more orders, questions, and products.
We build AI for online retailers and brands: customer support, catalogue content, order operations, and personalisation — connected to your store and fulfilment systems.
The challenge
Where e-commerce teams lose time
- Support volume spikes during promotions and holidays
- 'Where is my order?' questions consuming support time
- Product descriptions written one by one
- Returns and exceptions handled manually
- Generic recommendations that do not reflect behaviour
AI opportunities
Where AI makes a practical difference
Support automation
Order-status, returns, and product questions answered with live data.
Catalogue content
Product descriptions and attributes generated and reviewed at scale.
Order operations
Exception handling, inventory alerts, and supplier communication.
Personalisation
Recommendations and search tuned to customer behaviour.
Agent examples
AI employees for this industry
Agent
AI Support Employee
Answers order and product questions using live store data.
Agent
Catalogue Assistant
Drafts product content from attributes for merchandiser review.
Agent
Order Operations Agent
Flags delayed orders, stock issues, and exceptions.
Automation workflow
Order status request
- 1
Question
Customer asks about an order.
- 2
Verify
Customer identity checked.
- 3
Look up
Order and carrier status.
- 4
Reply
Status and next steps.
- 5Human
Escalate
Problems go to the team.
Software systems
The software around the AI
Custom storefront features
Search, bundles, and personalised experiences.
Operations dashboards
Orders, returns, and exceptions in one view.
Recommendation services
APIs serving product suggestions.
Integrations
Systems we connect
- Shopify, WooCommerce, or custom stores
- Help desk
- Shipping and carrier APIs
- Inventory systems
- Payment providers
- Email and SMS
Security & compliance
Considerations we design for
Customer data and payments require careful handling.
- Identity verification before sharing order details
- No storage of payment card data in AI systems
- Refunds above thresholds require approval
- Consumer privacy rules applied to personalisation
- Product claims reviewed before publishing
Related work
Case studies
E-commerce · 2024 · Confidential client
Behaviour-based product recommendations for an online retailer
A recommendation engine that uses browsing and purchase behaviour to suggest relevant products, served through an API into the retailer's storefront.
FAQ
Frequently asked questions
01Does it work with Shopify?
Yes. Shopify and other platforms with APIs can be integrated for order, product, and customer data.
02Can AI write our product descriptions?
It can draft them from your product data and brand guidelines. We recommend review before publishing, especially for regulated product categories.
Related services
How we help
Service
AI Employee Systems
We build supervised digital workers for defined business functions — sales, support, operations, finance, and more — that use your tools, follow your rules, and hand decisions to people when judgment is required.
Service
Generative AI Development
We design generative AI features and pipelines — for content, summaries, structured outputs, and multimodal inputs — engineered with evaluation, guardrails, and cost control from the start.
Service
Custom AI Development
When your workflow, data, or product needs something specific, we design and engineer the AI system end to end — models, data pipelines, application layer, and the operations to keep it healthy.
Next step
Tell us about your e-commerce workflow.
A strategy call is a working conversation about one workflow: what it involves today, what could be automated, and what a first build would look like.
What happens next
- 1Tell us about one workflow
- 2We review it before replying
- 3A working session, then a first-build proposal