Does it know enough to recommend?
Recommend now, stay conditional, or ask first?
SHOPPING AGENT QUALITY
Your AI shopping Agent is now part of how customers find and choose products.
It interprets shopper intent, narrows the catalog, recommends products, and guides what happens next. When that behavior is wrong, the whole shopping journey can drift—even when the product data is correct.
KETUPA improves the shopping Agent and commerce stack you already use—making or co-making changes, proving the result, and maintaining important behavior over time.
THE EXPERIENCE IS CHANGING
The Agent does not just answer. It shapes the shopping journey.
A shopping Agent uses product knowledge, shopper context, and merchant guidance to decide what to ask, what to show, and how confidently to move forward.
- 01
Understand intent
What is the shopper trying to accomplish?
- 02
Clarify what matters
Which missing detail would change product fit?
- 03
Recommend products
Which options fit the need right now?
- 04
Refine the options
What changes when new information arrives?
- 05
Guide the next step
Ask, compare, verify, recommend, or act?
The Agent is influencing product discovery—and what the shopper does next.
THE REAL QUALITY PROBLEM
Correct product knowledge does not guarantee correct shopping behavior.
An Agent can have accurate data, strong instructions, and a capable model—and still recommend too early, overstate confidence, or lose an important requirement later in the journey.
Accurate product dataCorrect product informationMerchant guidanceA capable AI model
Which products really fit?
Recommend, deprioritize, show as an alternative, or remove?
What can it confidently say?
Compatible, suitable, confirmed—or still unknown?
What changes with new information?
Remove, rerank, reconsider, or confirm?
Does the experience agree?
Answer, ranking, cards, follow-ups, and actions must align.
Will it survive the next release?
Recheck after model, prompt, catalog, policy, or platform changes.
WHAT THIS LOOKS LIKE
A helpful shopping Agent can still guide the journey wrong.
The failure is often not the answer alone. It is how one weak decision spreads into recommendations, ranking, product presentation, and actions.
01
PERFORMANCE REQUIREMENT
The product works. But does it meet what the shopper asked for?
SHOPPING SITUATION
A shopper wants a compact laptop charger that supports fast charging. The Agent knows a smaller charger can power the laptop, but the exact model and charging configuration are still unknown.
WHERE QUALITY BREAKS
If “can charge” becomes “fast-charge ready,” the recommendation and product card inherit confidence the evidence does not support.
02
IMPORTANT REQUIREMENT
The Agent understands the requirement. Then the journey ignores it.
SHOPPING SITUATION
A shopper says they do not want an installation that requires drilling. The Agent starts with the right product, then later resurfaces a drilling-required alternative.
WHERE QUALITY BREAKS
The requirement was understood once, but it stopped controlling eligibility, ranking, and the products shown later.
WHAT GOOD QUALITY LOOKS LIKE
Quality has to hold from shopper intent to the next action.
- 01
Understand
Capture what the shopper needs.
- 02
Clarify
Ask only what changes product fit.
- 03
Recommend
Present fitting products with the right confidence.
- 04
Refine
Update the options as context changes.
- 05
Stay consistent
Align responses, ranking, cards, follow-ups, and actions.
- 06
Stay reliable
Protect the behavior as the system evolves.
WHY THIS IS HARD TO OPERATE
The shopper sees one journey. Your team operates many moving parts.
Product data, Agent guidance, search, recommendations, ranking, product cards, and actions can each be correct in isolation while the combined experience is not.
Shopping Agent quality depends on the whole experience working together.- 01
Product data & knowledge
What the Agent knows
- 02
Guidance & Skills
How knowledge should be used
- 03
Search & recommendations
What is discovered
- 04
Eligibility & ranking
What remains valid and appears first
- 05
Presentation & actions
What shoppers see and can do
- 06
Testing & releases
What changes and ships
01The answer is right. The ranking is wrong.
02The recommendation is conditional. The product card sounds certain.
03The right question arrives after products are shown.
04New information arrives. The old recommendation remains.
05One release fixes a behavior and quietly breaks another.
WHY COMMERCE TEAMS CARE
Better Agent quality improves the shopper experience—and how teams operate it.
Better product discovery
Narrow toward products that fit the real need.
More appropriate recommendations
Keep important requirements active.
Better shopper confidence
Separate confirmed, conditional, and unknown.
Fewer avoidable mismatches
Catch fit and recommendation gaps earlier.
Faster Agent improvement
Know exactly what behavior and control must change.
More reliable releases
Recheck critical journeys after every change.
WHAT KETUPA DOES
Make important shopping-agent behavior work—and keep it working.
KETUPA improves the AI shopping Agent and commerce stack you already use. We turn product expertise and business requirements into better Agent behavior, benchmark the live experience, implement or co-implement improvements, validate the result, and keep critical behavior reliable through future changes.
- 01Make the guidance explicit
- 02Evaluate the live Agent
- 03Measure performance
- 04Implement the change
- 05Validate the result
- 06Retain regression coverage
Business-Approved AI Agent Guidance Specification
Clear, operational guidance for the selected Agent experience.
Vertical AI Shopping Guidance Evaluation Suite
Category- and merchant-specific situations, evidence, expectations, and graders.
AI Shopping Agent Performance Benchmark
A measured baseline showing where improvement matters.
Implementation Change Package
Concrete changes mapped into the existing Agent and commerce stack.
Retained Regression Test Suite
Critical coverage kept for future system changes.
SHOPPING AGENT QUALITY & OPTIMIZATION
Start with one Agent experience that matters.
KETUPA will show how the Agent performs today, what needs to improve, and how to keep the better behavior reliable.