We help retail with shopper and employee experience.

Serving now at scale
Tell us the job. See it done.
Select your use case, see how we solve it.












3X-5X
higher conversion rates
40-50%
increase in inquiry handling capacity
30-40%
fewer abandoned carts
Start with the problem
Fits into your tech stack
Pre-built app: AI for Retail
Leverage a ready-to-use application forged in retail enterprises.

Purpose-built retail use cases
From agentic product discovery to returns automation, AI for Retail ships with the highest-value retail workflows ready to deploy. No building from scratch, no guesswork on what to prioritize.
Governance and compliance built in
Built to customize
Connects out of the box
Trusted by leaders. Proven in production.
Global e-commerce marketplace
Weekly self-service sessions
900K+
Voice calls containment rate
75%
Digital interactions containment rate
57%
Monthly calls handled with ai
520K
Connected hundreds of millions of buyers and sellers across 190 countries with unified AI customer support across voice and digital channels at enterprise scale.

Enterprise AI trust and reliability.
Trust is engineered into every layer from security and governance to compliance, observability, and responsible AI controls.
{Artemis} is the foundational reason why enterprises trust kore.ai
AI programmable is the new AI advantage
Get to ROI faster
AI builds, runs evals, and optimizes quality agents for production with speed
GoVERN WITH CERTAINLY
Evaluate, trace, and audit every agent session, that's 100% observability
BUILT FOR INDUSTRY PACE
Your logic is built to outlast innovation, regardless of the model
Invented for the agentic era. Shaped by a decade of hard-earned enterprise AI learnings.
Scale with AI
Move AI agents into production across workflows, systems, and channels.






Trust agents in production with visibility into how they perform and impact the business.




Optimize with AI




Your agents inherit the curve
AI is on an exponential growth curve; the Al-programmable platform rides it by design. Every model gain in reasoning, tool use, and context lands inside your agents automatically. No rebuild. No catch-up.
What {Artemis} changes
Challenges to outcomes
The Problem Today
How { Artemis } solves it
1
Cart abandoned over unanswered questions.
Compatibility doubts, delivery uncertainty, and return policy confusion stall checkout. When shoppers can't get answers fast, they leave.
Instant answers, every step of checkout.
AI agents resolve product, delivery, and policy questions in real time so shoppers get the confidence they need to complete the purchase.solve the query fully in one interaction without a repeat call.
2
Channels don't talk to each other.
A shopper browses on mobile, calls the contact center, and walks into a store. Each channel starts from scratch. Context resets every time.
One shopper identity, across every channel.
A persistent identity layer carries order history, preferences, and context across web, mobile, voice, and in-store so every interaction continues, not restarts.
3
Returns and WISMO enquiries flood the contact center.
Order status and return requests make up the majority of inbound contact center volume. Most don't need a human to resolve.
Self-serve resolution, no agent needed.
AI agents handle the full return and order tracking workflow end to end, from eligibility check to label generation, without any agent involvement.
4
AI is hard to govern.
Scaling AI in retail raises the risk of inconsistent product answers, unauthorized discounts, and policy violations with no audit trail to trace them.
Governed by design.
Every AI action follows retail policy and brand standards, with full audit trails across every shopper interaction so nothing runs unchecked.
5
Pilots stall before production.
Custom-built retail AI takes months to develop and most never make it to live deployment at the scale and complexity enterprise retail demands.
Pre-built applications.
Artemis ships production-ready applications for retail workflows, so teams go live in weeks and focus on optimizing outcomes rather than building from scratch.


















