Fit, styling and stock questions
How does this fit? Is another colour available? Will it be restocked? Give customers useful product guidance before they decide.
Industry solution
AI support, in your brand’s voice. Help shoppers with product, fit, order and return questions, and keep people ready for the conversations that need a personal touch.
I love the jacket, but need a smaller size.
Context to check: Check the item, exchange policy and stock in the requested size.
Next action: Explain the available exchange route without promising stock before it is checked.
Shaped around the policies and permissions agreed for the operation.
Help the customer find the right fit.
Customer
Help customers choose with confidence, keep launches moving and make returns feel as considered as the sale.
How does this fit? Is another colour available? Will it be restocked? Give customers useful product guidance before they decide.
Launch dates, discount rules, pre-order timing and fast-moving stock create a burst of questions that still need an on-brand answer.
Customers want to know where an order is, how to exchange a size and when a refund will arrive. Make the after-sale journey easy to follow.
An example journey
A customer wants to exchange a dress and needs to know whether the replacement can arrive in time. Keep the answer useful and on-brand.
Helpdesk keeps the sizing question and order history together. An AI Agent uses approved fit guidance and connected availability data where configured.
Knowledge supplies the exchange window, collection-specific exclusions and delivery guidance. The advisor’s assistant helps explain the options in your brand’s voice.
Hand over an urgent or exceptional request with the deadline included. Quality checks the promises, and Data Insights shows whether the same garment repeatedly creates fit questions.
Use product-specific fit information and agreed stock data. Avoid guessing an arrival date or guaranteeing a fit; let an advisor handle time-sensitive exceptions and personal advice.
Resolvable AI · 01
Make the latest collection, fit information and exchange policy available wherever the customer asks.
Bring launch-day DMs, product questions, order updates and exchange requests into one inbox. Advisors see the customer’s earlier sizing discussion before replying about the return.
Answer approved questions about sizing, materials, care, promotions and delivery. Use connected stock or order data where available, then route styling requests and urgent exchange exceptions to an advisor.
Centralise size guides, fabric notes, collection updates and promotion exclusions from product decks, documents and team notes. Give new advisors a personal assistant rather than asking them to memorise every drop.
Help international shoppers explain fit, colour or exchange questions in their own language. Your advisor works with the translated message and approved product guidance, then sends a translated reply.
Resolvable AI · 02
Capture the occasion and urgency before handing over, then keep follow-up connected to the order.
Welcome callers asking about collection, delivery or an exchange. Gather the order and occasion details, answer routine policy questions and pass a personal or urgent request to the right advisor.
Prepare callbacks for a time-sensitive exchange, product enquiry or unresolved aftercare issue. Keep the customer’s event date and previous notes with the call, outcome and follow-up.
Resolvable AI · 03
Bring fit, product-description and aftercare themes back to buying, merchandising and customer-service teams.
Review brand tone alongside policy accuracy. Flag an unsupported delivery promise, missed exchange exclusion or incorrect care instruction against the knowledge your team uses.
Ask how the customer felt about product advice or exchange support. Read the feedback alongside quality evidence so an on-brand reply also feels helpful to the shopper.
Find recurring fit concerns by garment, unclear fabric descriptions and friction in exchanges. Share the underlying customer wording with product, buying and digital teams.
Ask ‘How did this collection launch affect contact volume?’ or ‘Which day brings the most exchange enquiries?’ See the service data behind the chart before planning the next drop.
Use Resolvable AI and Resolvable Outsourcing independently, or connect them around these journeys. Agree the knowledge, systems, coverage and handover rules for your operation.

