BETTER SHOPPING PROGRESS
Help qualified shoppers move confidently toward a suitable product or the right next step.
MERCHANT-SPECIFIC AI SHOPPING AGENT IMPLEMENTATION, OPTIMIZATION & ASSURANCE
KETUPA is a merchant-specific AI Shopping Agent Implementation, Optimization & Assurance company focused on product discovery and buying journeys.
Launching a new Agent? We help configure and implement it around your products, business requirements, and important buying journeys.
Already have an Agent? We identify where the shopping experience can improve, implement the changes, and continuously optimize it with merchant- and category-specific quality assurance.
Better product guidance. Better recommendations. Fewer costly shopping mistakes. A better AI shopping experience for your customers.
WHY IT MATTERS
An AI Shopping Agent can sound confident and still miss an important shopper requirement, recommend an unsuitable product, ask unnecessary questions, make unsupported claims, or fail to guide the shopper toward a useful next step.
For merchants, these failures can create friction, increase return and support risk, and reduce the value of the Agent across important buying journeys.
Help qualified shoppers move confidently toward a suitable product or the right next step.
Reduce unsuitable recommendations, missed requirements, unsupported claims, and avoidable dead ends.
Reduce repeated questions, unnecessary handoffs, manual review, and recurring one-off fixes.
Keep important shopping behavior working as products, policies, catalogs, and AI models change.
WHY KETUPA
Every merchant has different products, requirements, priorities, and customer expectations. KETUPA turns those differences into better Shopping Agent behavior across product discovery and buying journeys.
We work with the Agent and commerce stack already in place—implementing and optimizing the parts of the shopping experience that matter most, then using merchant- and category-specific quality assurance to help keep them working as things change.
Define how the Agent should understand shopper needs, qualify important requirements, recommend and rank products, handle exceptions, and adapt as the journey changes.
Result: Shopping behavior aligned with your products and business.
Test the important buying journeys against realistic shopper situations, product requirements, trade-offs, and later-turn changes.
Result: Quality checks built around what actually matters for your category.
Carry accepted improvements into the existing Agent and commerce stack through the available platform controls, then continue improving the experience over time.
Result: Better Shopping Agent behavior in production—not just findings or recommendations.
ABOUT KETUPA
KETUPA is founded and led by Bufan Shen, with Co-Founder and CTO Jian-Tao Sun, PhD, former Microsoft Partner Engineering Manager.
The team brings senior experience across Microsoft AI and search, Amazon production systems, retrieval and ranking, conversational AI, implementation, evaluation, and production reliability.
START SMALL
Launch a new capability, improve a live journey, or verify an important change.
KETUPA identifies where the shopping experience can improve, implements the accepted changes, and verifies the result.