AI personal shopper

AI Commerce Personal Shopper

Help customers find the right product faster through an AI shopping experience that understands needs, compares options and explains recommendations.

Pencil illustration of product comparison objects and shopping decision cards for an AI personal shopper
AI Commerce Personal ShopperCatalogue-aware discovery, confident comparison and buying clarity.

Outcome

From product overload to confident purchase decisions.

Guide product discovery with catalogue-aware recommendations, comparisons and buying confidence. The product is designed around a specific decision journey, not a generic chatbot pattern.

Customer clarity

Users get a clearer path from question to decision.

Business handoff

Intent, context and next steps connect to your workflow.

Trust controls

Boundaries, logs and human escalation are designed from the start.

Use case clarity

Start with the customer moment we want to improve.

For commerce teams, the useful agent reduces product overload and helps shoppers buy with confidence. It understands preferences, explains recommendations and keeps merchant rules visible.

Use case 01

Fashion and beauty assistant

Solves shoppers are unsure about fit, shade, style, routine or occasion.

How asks preference questions, recommends a shortlist and explains fit in customer language.

Use case 02

Electronics advisor

Solves technical specs make product choices hard to compare.

How translates specs into practical tradeoffs and recommends based on use case and budget.

Use case 03

Home shopper

Solves customers need products that match room, size, material and taste constraints.

How collects context, filters options and explains why each item belongs in the set.

Use case 04

Marketplace discovery

Solves large marketplaces bury relevant products under too many choices.

How turns broad intent into filters, ranked options and next-best actions.

Use case 05

Subscription recommender

Solves customers do not know which plan, bundle or cadence fits their habits.

How matches preferences to subscription rules and prepares a confident checkout path.

Use case 06

B2B commerce advisor

Solves business buyers need product fit, compliance and quantity guidance before purchase.

How collects requirements, compares options and routes complex requests to sales.

From browse to buy

A shopper says what they need. The assistant turns it into the right basket.

No technical map, no confusing filter maze. The experience feels like a helpful store expert who asks the right questions, compares options and moves the customer toward checkout.

1

They describe the moment

Budget, style, size, use case or gift goal: the shopper can speak naturally instead of guessing filters.

2

The store narrows the choice

Products are matched to real needs, stock and rules, so the customer sees a small useful set.

3

They understand the pick

Clear reasons, comparisons and bundles help the customer feel confident before buying.

4

The next step is ready

Add to cart, save, ask support or complete a bundle. The handoff is part of the flow.

Working underneathCatalogue matchingBundle rulesMerchant controlsConversion analytics

Trust & Control Layer

Useful AI with visible boundaries.

Every Lumethica solution includes a practical trust layer: transparent reasons, approved claims, inventory awareness, fallbacks for missing data, support handoff, recommendation logs.

Delivery model

From product sprint to MVP and optimization.

1

Product Sprint

Map the decision journey, UX flow, AI behavior and trust boundaries.

2

MVP Build

Build the assistant, knowledge layer, handoff and measurement loop.

3

Optimization

Improve prompts, flows, analytics, content and business outcomes.

Related solutions

Explore adjacent AI product patterns.

Final CTA

From product overload to confident purchase decisions.

Build your AI shopping assistant