AI e-commerce & product discovery
Create AI shopping assistants, catalogue enrichment and product discovery tools connected to accurate product, stock and order information.
THE BUSINESS CONTEXT
A growing catalogue can make it harder for shoppers to understand differences between products. Teams also spend time rewriting descriptions, correcting attributes and answering recurring questions. AI can support both product discovery and the operational work behind the store.
We design features around the catalogue as the source of truth. Product facts, prices, availability and offers come from approved systems. The pilot measures whether customers complete useful shopping tasks and whether the content remains accurate.
YOUR FIRST ENGAGEMENT
Focused Pilot
Use a selected product category to build an accurate shopping guide and catalogue-enrichment workflow.
Discuss This PilotAn approved catalogue, product policies, inventory access and a merchandising owner.
Measures are agreed for your project. Results depend on the data, workflow and evaluation; they are not guaranteed improvements.
WHAT WE DO
Identify missing attributes, inconsistent units and duplicate descriptions. Prepare structured content using the manufacturer or brand’s approved material. Keep ingredient, safety and performance claims tied to evidence. Merchandisers review important fields before a draft reaches the storefront.
Help customers compare products by stated needs, budget and preferences. Show available products with clear reasons for the suggestion and links to the full listing. The assistant should ask a clarifying question when the catalogue does not support a confident recommendation. It does not invent stock or product properties.
Retrieve current inventory, prices and order information through authorised interfaces. Use your existing shipping and returns policies to answer routine questions. Authentication is required for private order details. Checkout, promotions and refunds continue to follow the store’s established transaction rules.
Compare recommendations with a useful baseline and review results across the catalogue. Measure search success, product engagement and conversion with appropriate measurement design. Personalisation uses agreed customer permissions and retention settings. Any commercial uplift is an observed result, not a promised percentage.
A DEFINED ENGAGEMENT
Your proposal defines the exact scope, responsibilities, milestones, and exclusions. Depending on the engagement, the work can include:
WHERE IT FITS
Explain product differences and improve catalogue consistency.
Help shoppers navigate a wide product range.
Guide buyers through technical product attributes.
WHO THIS CAN HELP
Explore example workflows and the customer groups these services are designed to support.
A PRACTICAL FIRST STEP
Choose one useful task, agree how the result will be checked, and use the evidence to decide what should happen next.
QUESTIONS, ANSWERED
We assess the store’s APIs, theme and product data. Shopify, WooCommerce and custom platforms may support different integration approaches depending on the account and required actions.
Drafts use approved source information. It should not invent therapeutic, certification or performance claims.
Yes. A needs-based conversation can work without a purchase history. Behaviour-based personalisation needs suitable data and permission settings.
CONNECTED CAPABILITIES
Use generative AI to support the work between an initial brief and an approved result.
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Explore This SpecialtyA CONVERSATION IS A GOOD PLACE TO START