Retail & customer service
Work with product information, stock, and customer questions.
Retail & customer service
21 resources to explore · Illustrative, not tool-tested
Clean a messy inventory list
A consistent, traceable stock list plus a separate queue of questions to resolve.
Make a product listing and clean import CSV
A complete fictional listing, a fact-to-claim map and a two-variant CSV that matches a declared generic schema.
Turn a fixed shop policy into a faithful customer FAQ
A complete eight-question FAQ and an owner-review list, traceable to a fixed source policy.
Turn a spreadsheet rule into a formula you can check
A proposed single-cell Google Sheets formula, a pasteable eight-case synthetic grid, an independent answer key and a procedure for checking actual results and recalculation. The downloadable pack is documentation-reviewed; Google Sheets execution and the AI workflow remain unperformed.
Find themes in customer feedback without inventing consensus
A downloadable theme ledger that preserves source IDs and exact excerpts, counts unique codable comments transparently and keeps excluded or unclear rows visible.
Match two lists by ID without losing rows
A nine-row match-and-exception CSV: three confirmed pairs, one equipment-only row, one request-only row and four held source rows for one duplicated key. All twelve input rows remain traceable exactly once.
Draft a short feedback survey people can answer
A downloadable five-question paper draft and matching codebook with exact answer choices, optional paths and checked branching. No form has been published and no responses have been collected.
Make a help article from supplied steps
A task-based reference article preserving supplied screen labels and failure paths
Sort support requests using explicit routing rules
A ticket-to-queue ledger with clear evidence and unrouteable requests held
Hand a support conversation to a person without making customers repeat it
An issue handoff with attempted steps, current state and a customer-facing transition
Rehearse a customer-service conversation within your authority
A two-branch practice dialogue and an observer check sheet
Compare product features without inventing a winner
A feature comparison and conditional fit notes using supplied requirements
Write concise helper text for a checkout screen
Field hints and an order-review warning tied to supplied behavior
Prepare honest answers to common sales objections
A short objection-handling card limited to supplied product facts and authorized commitments
Check which accessories match the products you have
A compatibility matrix derived from exact supplied interface rules, with unknown specifications held and no inferred fit. This is an authored practice example; no consumer AI run has been recorded.
Check several partial deliveries against one order
A line-by-line received, outstanding and over-delivered ledger, with duplicate delivery references held before totals. This is an authored practice example; no consumer AI run has been recorded.
Count records by two categories without losing the totals
A complete two-way count table with row, column and grand totals, including unknown categories. This is an authored practice example; no consumer AI run or real participant trial has been recorded.
Move categories to a new scheme without hiding lost detail
A source-to-target category crosswalk with one-to-one, many-to-one and unresolved split mappings, plus an information-loss report. This is an authored practice example; no consumer AI run or real participant trial has been recorded.
Write a product demo that shows each claim
A short demonstration script linking each factual claim to a visible action or clearly labeled unshown limitation. This is an authored practice example; no consumer AI run or real participant trial has been recorded.
Map a customer journey without inventing feelings
A source-linked journey map of observed stages, actions and open questions, separating quotations from inference. This is an authored practice example; no consumer AI run or real participant trial has been recorded.
Ask only the intake questions needed for a small service
A minimal conditional intake form in plain text, with a purpose for each field and a walkthrough of its branches. This is an authored practice example; no consumer AI run or real participant trial has been recorded.