Get the Width and Fit Question Answered Before the Return
Footwear has one of the highest return rates in fashion, almost always over fit — width, arch, true-to-size.
Reflys answers the fit question before checkout instead of after a return label gets printed.
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Where footwear
returns start
Width and arch-fit questions get asked one pair at a time, across every style
“Does this run narrow or wide?” has a different answer per style, and staff can't always recall it instantly
Exchange requests for the wrong size are a routine cost with no flow to catch them before shipping
Order, size-run, and return data live in the store's inventory system, disconnected from the DM thread asking about a specific pair
New-arrival fit questions spike right after a launch post, faster than staff can answer
Repeat buyers get asked their size fresh every time instead of it being remembered
From Fit Question to the Right Pair

Fit & Width Finder
Style-specific fit answers pulled from your actual sizing notes, not a generic chart.
Exchange Flow
Captures the right size before a return ships, cutting the round-trip in half.
Returning Customer Memory
Recalls a repeat buyer's size so they're not asked again.
CRM Integration
Connects to your inventory or order-management system via API or webhook, configured directly into your automations — reads size-run stock and purchase history and writes exchanges back in parallel, no double entry.
Where Footwear Conversations Happen
Instagram DM for discovery and fit questions on new arrivals; WhatsApp for order status and exchange requests once someone's bought.
Answer Fit Questions on New Arrivals
Instagram DM answers width, arch, and true-to-size questions right after a launch post.
Best for:
- Fit & width
- New arrivals
Sort Exchanges Before They Ship
WhatsApp handles order status and captures the right size on exchange requests once someone's bought.
Best for:
- Exchange flow
- Order status
Footwear Customer Service Automation That Answers Fit Before the Return
Shoe returns are mostly about fit, and many fit problems are predictable: this style runs narrow, that one needs a half size up. The knowledge exists in your team's heads. Footwear customer service automation puts it in front of the shopper before checkout, when it can still prevent a return label.
How it works
Give style-specific fit answers
Shoe fit and width guidance comes from your own sizing notes for each style. A shopper asking whether a boot runs narrow gets the answer for that boot. Half sizes and wide width options are named, so the shopper knows what to order.
Catch the exchange early
Size exchange automation captures the right size before a return ships, which cuts the round trip and keeps the sale.
Remember returning customers
Repeat buyers are recognized and their usual size recalled, so they are not asked the same questions on every order. A returning customer reaches checkout in fewer messages.
Connect your inventory system
By API or webhook, Reflys reads the size run, order and return data and writes updates back, so order status and availability are accurate.
In practice
Say a shopper with wide feet sees your new arrivals post and asks whether the loafer comes in a wide width. She is told it does not, that it runs narrow, and that a similar style with more room is in stock in her size. She buys the second pair and keeps it. The alternative was a sale, a return and a refund.
Practical tips
Record three facts for every style: length compared with true to size, width, and arch support. Those three answer nearly every fit question.
Be honest when a style will not work for someone. Recommending against a purchase is the fastest way to reduce shoe returns and earn the next order.
Ask “what size do you wear in the brand you buy most?” It gives a better reference than a foot measurement most people take badly.
Questions? We've got answers.
Everything you need to know about Reflys, automations, integrations, and getting started.
Yes — fit answers are pulled per style from your own sizing notes, the same detail a knowledgeable sales associate would give.
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