Give commerce teams AI that understands products, content and operations.
Connect product data, customer signals, support context and workflow actions so your AI peers can help teams optimise product pages, answer questions and keep commerce moving.
Commerce AI Peer
Connected product and workflow context
Products
Performance
Feedback
Operations
Team request
Check this product’s performance and suggest the next best actions for the page and stock workflow.
Assistive next actions
Put AI inside the product workflow, not beside it.
Connect product information, sales signals, reviews and team workflows so commerce teams can move from insight to action without switching across disconnected systems.
Eco-Fit Performance Tee
Live productWeekly sales
125 units
Bounce rate
8%
Eco-Fit
Performance Tee
Features
Tags
Reviews
E-commerce Assistant
Connected product context
Can you check this product’s stats and highlight anything urgent?
Here are the current signals for this product. Sales remain healthy, but two issues need attention: multiple reviews mention shrinkage after washing, and demand is building for larger sizes.
Update the product description with care instructions and flag the size issue for the merchandising team.
Done. I prepared the updated description, highlighted the care guidance and created a follow-up task for the merchandising team.
AI works better when products, feedback and operations are connected.
Bring together the product information and operational context behind your storefront so teams can act on the right signal at the right time.
Product catalogue
Sales performance
Reviews & feedback
Support context
Inventory
Workflow actions
Reduce friction across products, content and operations.
Commerce teams need more than isolated dashboards. They need connected context, faster decisions and the ability to turn signals into action across the storefront and the back office.
Scattered product context
Product content, reviews, support issues and stock signals often sit in different systems and teams.
Slow content updates
Refreshing descriptions, FAQs, care guidance and merchandising content still takes too many manual steps.
Signals get missed
Reviews, return reasons or support feedback can highlight product issues before they become bigger commercial problems.
Too much manual coordination
Teams still need to create tasks, route issues and coordinate next steps across merchandising, content and operations.
Build commerce AI around the work your teams already do.
Connect product sources, customer signals and operational workflows, then shape the AI peer around the decisions and actions your teams need every day.
Discuss your e-commerce workflowOptimise product content
Support product descriptions, FAQs, care instructions and other content updates with connected product context.
Surface performance signals
Bring together sales, conversion and behaviour signals so teams can see which products need attention first.
Turn feedback into action
Summarise reviews, returns and support signals to spot patterns and support better product decisions.
Automate the next step
Move from insight to connected workflow steps such as task creation, routing, content updates and follow-up actions.
Build practical AI workflows across commerce operations.
Start with one product, content or operational workflow, then expand into connected use cases as the team gains confidence.
Product content support
Generate or update product descriptions, feature summaries, FAQs and care information from existing product context.
Product performance review
Bring together sales, conversion and behavioural signals to understand where a product page needs attention.
Review & feedback summaries
Summarise what customers are saying across reviews, support and return reasons to surface actionable patterns.
Inventory and assortment signals
Spot demand patterns, size or variant issues and other signals that affect product availability and merchandising decisions.
Support-assisted commerce
Use customer-service and support context to improve product pages, reduce confusion and answer common questions faster.
Workflow automation
Create follow-up tasks, route issues to the right team and support operational next steps directly from the AI workflow.
Ask once. Bring the right commerce context together.
A commerce AI peer can retrieve product information, customer signals and operational context, then prepare an assistive recommendation for the team.
Commerce Peer
AI agent · Connected commerce context
Why is this product underperforming in larger sizes?
Connected sources checked
The main issue appears to be availability rather than demand. Review signals show that customers are actively asking for larger sizes, while current stock status suggests limited availability.
What should we do next?
Update the page to reflect care guidance more clearly, flag the size-demand issue to the merchandising team and monitor whether the feedback pattern changes after the next stock update.
Connect AI to the systems and data your commerce team already uses.
Use APIs, integrations and flexible workflow design to fit AI into your commerce architecture rather than adding another disconnected tool.
Discuss your commerce architectureProduct and catalogue data
Connect the product and catalogue sources required to support product questions, content and merchandising workflows.
Performance and analytics
Bring sales and behavioural performance signals into the workflow where the team needs to evaluate products and take action.
Customer feedback sources
Connect reviews, support conversations and other customer signals that influence content and product decisions.
Workflow and team actions
Connect the tools and internal steps needed to create follow-ups, route issues and move commerce work forward.
Start with one commerce workflow, then expand.
Begin with a product, content or operational workflow that creates real friction, then expand into related commerce use cases as the team gains confidence.
01
Connect product context
Bring together the product, performance, customer and workflow context required for the selected use case.
02
Define the Commerce Peer
Shape the assistant around the decisions, content needs and operational actions your team handles every day.
03
Automate the next step
Move from answers to actions such as content updates, task creation, routing and merchandising follow-ups.
Put AI to work across your commerce operation.
Build e-commerce AI peers that understand products, customer signals and operational workflows so your team can move faster from insight to action.