MORE PURCHASE PROGRESS
Keep qualified shoppers moving toward a suitable product or an appropriate next step.
AI SHOPPING OPTIMIZATION & IMPLEMENTATION & ASSURANCE
Launch and make the AI shopping agent you already use work better for your products, customers, and business.
KETUPA is the merchant-specific AI shopping agent optimization, implementation & assurance partner for retailers and AI commerce platforms. We lead the workstream from category requirements through agent configuration, product data and knowledge, retrieval and ranking, tools and targeted integrations, verified production release, and reusable regression coverage—within the platform and commerce stack already selected.
KETUPA implements directly through available controls and co-engineers platform- or enterprise-owned changes with the teams that own them, remaining accountable for the shopping behavior through verification.
Keep your agent. Improve the shopping experience. Verify the behavior change.
WHY IT MATTERS
Fluent answers can still produce a poor shopping experience for shoppers.
A capable shopping agent can still retrieve the wrong products, lose an important requirement, ask unnecessary questions, make unsupported claims, recommend with too much confidence, or stop before the shopper reaches a useful next step.
These failures may sound reasonable while creating customer friction, avoidable operating cost, purchase risk, and less value from the merchant’s AI investment.
FEWER DECISION FAILURES
Reduce unsuitable recommendations, unsupported claims, lost requirements, and avoidable dead ends.
LOWER OPERATING FRICTION
Reduce repeated questions, unnecessary handoffs, recurring manual review, and one-off fixes.
MORE DURABLE AI VALUE
Retain approved quality coverage as products, policies, catalogs, prompts, and models change.
WHY KETUPA
Turn merchant judgment into behavior the agent can follow—and coverage that can verify it.
AI commerce platforms provide the agent, product connections, workflows, analytics, and implementation controls. Merchant teams provide the product truth, category knowledge, policies, priorities, and acceptable exceptions.
For important or complex shopping journeys, the harder work is making those capabilities reflect the merchant’s products, category logic, customer needs, policies, priorities, and exceptions—and keeping that behavior reliable as things change.
KETUPA owns that merchant-specific optimization workstream.
MERCHANT AI SHOPPING AGENT PLAYBOOK
A clear definition of how the agent should understand shopper needs, apply product and policy knowledge, qualify options, compare products, recommend, explain, and act.
The merchant remains the authority on product truth, policy, business priorities, and final approval.
CATEGORY-SPECIFIC SHOPPING AGENT EVALUATION SUITE
Reusable evaluation coverage built directly from the playbook.
It covers complete journeys, realistic shopper variations, changing requirements, important decision points, and category-specific situations that generic answer scoring often misses.
IMPLEMENTED AND VERIFIED OPTIMIZATION
Accepted findings become scoped changes in the existing agent and commerce stack. Depending on the diagnosed problem, those changes may involve agent instructions, retrieval, product and catalog data, decision logic, policies, workflows, tools, or integrations.
Before implementation begins, the scope, success criteria, and implementation owner are agreed. KETUPA implements where authorized or stays through co-delivery when another team controls the system.
The completed journey is then evaluated against the same merchant-approved coverage.
The result is not only a report. It is approved behavior, reusable evaluation coverage, an implemented improvement, and before-and-after verification.
WORK DIRECTLY OR THROUGH YOUR PLATFORM
One specialist workstream, two ways to engage.
Merchants engage KETUPA directly when an important category or shopping journey requires deeper optimization.
AI commerce platforms bring KETUPA into joint merchant opportunities requiring merchant-specific behavior definition, evaluation, implementation, optimization, or assurance.
In both cases, KETUPA performs the same job: define the required behavior, evaluate the journey, implement the accepted improvement, and verify the result.
We work through the platform and commerce stack selected by the merchant. KETUPA does not replace the agent platform or existing delivery teams—we help merchants get more value from them.
ABOUT KETUPA
A specialist team focused on AI shopping-agent behavior.
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 with one shopping journey worth improving.
Bring us a live or staging agent, a priority category, and a journey that matters to your customers and business.
KETUPA will turn the required shopping behavior into a scoped, implemented, and verified improvement.