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🛍️ Retail Boutiques / Specialty Stores × 💬 Customer Service

Product Recommendation Assistant: a playbook you can actually use.

Help staff narrow options from verified catalog data. This page gives you a copy-ready prompt, a controlled workflow, a practical tool stack, and a mini-agent concept you can implement gradually.

Copy-ready prompt

Compare the supplied products against the customer's stated criteria

Inputs to supply: customer-stated criteria, verified product catalog, budget, availability

Compare the supplied products against the customer's stated criteria. Show tradeoffs, relevant verified features, price if provided, and questions that would narrow the choice. Do not infer sensitive traits or invent product capabilities.
Controlled workflow

From intake to human-approved action.

Customer stated needs
retrieve catalog facts
AI compares options
staff/customer decides
Tool stack

Use the fewest tools that solve the problem.

These are example tool categories and common products—not endorsements. Prefer tools you already operate, can secure, and can integrate cleanly.

LLMChatGPT, Claude, or Gemini
commerce/POSShopify, Square, or current platform
automationZapier/Make
marketingCanva/email tool.
Mini-agent concept

Retail Recommendation Assistant

A narrow assistant for this one workflow—not an autonomous replacement for staff. Give it approved source information, restrict what it may decide, log outputs, and require human approval at the consequential step.

Guardrail

Where the human stays in charge.

Product claims, prices, inventory, returns, promotions, and personalized recommendations must use verified catalog/policy data.
From playbook to production

Want this workflow built for your business?

CYBERSIDE can help adapt the prompt, connect it to your actual tools and data, define review rules, test the workflow, and train the people who will use it.