Agentic Commerce
Personalize commerce journeys with AI agents that can sell and serve
Guide shoppers from discovery to purchase with recommendations, cart recovery, order tracking, support, and personalized upsell workflows.
What it does
Commerce teams lose revenue when discovery, support, order status, and retention live in separate systems. Production commerce agents need catalog rules, customer context, payment safety, and merchandising controls.
Who it is for
For retailers, marketplaces, subscription brands, B2B commerce teams, and digital sales organizations.
Key Capabilities
Composable capabilities designed for real deployment, continuous improvement, and secure enterprise operations.
Product discovery
Built as an enterprise-ready capability with measurable operational value.
Recommendations
Built as an enterprise-ready capability with measurable operational value.
Cart recovery
Built as an enterprise-ready capability with measurable operational value.
Customer support
Built as an enterprise-ready capability with measurable operational value.
Order tracking
Built as an enterprise-ready capability with measurable operational value.
Upsell and cross-sell
Built as an enterprise-ready capability with measurable operational value.
Architecture Modules
A modular deployment model gives technical teams flexibility while giving executives a clean operating view.
Production intelligence layer
Advanced operating data for deploying Agentic Commerce with measurable performance, clear release paths, and enterprise controls.
Recommendations can respect inventory, eligibility, region, margin, and merchandising policy.
Product discovery, cart, checkout support, order tracking, returns, and loyalty.
Attribute recovered carts, assisted conversions, upsells, support deflection, and repeat purchase.
Reference architecture
Read product, price, inventory, promotions, variants, and merchandising constraints.
Use approved profile, order, loyalty, and browsing signals to personalize safely.
Recover carts, check order status, start returns, create support tickets, and trigger campaigns.
Measure conversion, AOV, support deflection, cart recovery, and post-purchase engagement.
Production release path
Enterprise controls
Benefits
The platform is designed around outcomes leaders can measure, govern, and communicate.
Example User Journeys
Representative workflows show how agents move from insight to action across real systems.
Technical Architecture
Security, observability, approvals, and auditability are designed into the operating model from the beginning.
Configured for secure deployment, measurable performance, and governance review.
Configured for secure deployment, measurable performance, and governance review.
Configured for secure deployment, measurable performance, and governance review.
Configured for secure deployment, measurable performance, and governance review.
Configured for secure deployment, measurable performance, and governance review.
Integrations
Connect AI agents to the systems where work, knowledge, customer context, and approvals already live.
average reduction in manual workflow time
target platform availability for enterprise deployments
faster agent rollout with reusable orchestration modules
AI operations across channels, teams, and regions
Customer Confidence
Enterprise buyers need proof that AI systems can create value without increasing operational risk.
“The platform gave our operations teams a governed way to deploy AI agents without losing control of data, workflows, or compliance.”
“We moved from pilot projects to measurable automation outcomes across support, knowledge search, and internal engineering workflows.”
“The security model and observability layer made it possible to bring legal, IT, and business leaders into the same deployment motion.”
FAQ
Common questions from technical evaluators, business sponsors, and governance teams.
Can recommendations use catalog rules?+
Yes. Recommendations can respect stock, margin, geography, eligibility, and merchandising rules.
Can it support post-purchase journeys?+
Yes. Agents can handle order status, returns, support, replenishment, and loyalty journeys.
Ready to build enterprise AI systems that move from pilot to production?
Book a working session with our AI architects to map use cases, data readiness, infrastructure needs, and deployment priorities.