Confirm the Fit Before the Customer Buys Elsewhere
A part that doesn't fit the customer's exact make, model, and year is a return waiting to happen.
Reflys asks the right vehicle questions up front, checks stock, and confirms pickup or shipping, all before the sale instead of after the return.
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Where parts
sales go wrong
“Will this fit my car?” gets asked for nearly every part, one message at a time
Stock checks require a call or an in-person trip before a customer knows what's actually available
Pickup-vs-shipping confirmation gets sorted out after the order, not before
Inventory and fitment data live in the store's POS or catalog system, disconnected from wherever the DMs and texts are happening
Wrong-part returns pile up when fitment isn't confirmed before checkout
Core-charge and warranty questions on parts like alternators or brake calipers repeat constantly
From Fitment Question to Confirmed Order

Fitment-Check Flow
Confirms make, model, and year before recommending or ordering a part.
Live Stock Checks
Answers availability from real inventory, not a guess.
Pickup vs. Shipping Confirmation
Settles fulfillment method in chat before the order is placed.
CRM Integration
Connects to your POS or inventory system via API or webhook, configured directly into your automations — reads live stock and fitment data and writes order and pickup details back in parallel, no double entry.
Where Parts Conversations Happen
WhatsApp for stock checks and order status; Instagram DM for the product and compatibility questions that come in off a post.
Answer Compatibility Questions From Posts
Instagram DM asks for make, model, and year and answers fit questions that come in off a product post.
Best for:
- Fitment questions
- Product inquiries
Check Stock and Settle Fulfillment
WhatsApp answers live stock checks, confirms pickup or shipping, and shares order status.
Best for:
- Stock checks
- Pickup vs. shipping
Auto Parts Customer Service Automation That Confirms the Fit First
“Will this fit my car?” is asked about nearly every part, and a wrong answer becomes a return, a restocking job and an annoyed customer. Auto parts customer service automation asks for the vehicle details first, checks what is on the shelf and settles how the customer will get the part before any money changes hands.
How it works
Confirm the vehicle before the part
Parts fitment verification asks for year, make and model before recommending or ordering anything, so compatibility is checked at the start of the conversation.
Answer from real inventory
An auto parts stock check replies from your actual stock. A customer learns the part is in stock before driving across town. If it is not, the customer hears when it can arrive.
Settle fulfillment before the order
In-store pickup or shipping is agreed in chat, so nobody discovers after paying that the part is at another location. The customer knows where the part is and when it will be in hand.
Connect your inventory system
By API or webhook, Reflys reads your parts catalog and stock levels and writes orders back to your POS.
In practice
Picture a customer whose truck will not start on a Saturday morning. He messages asking for an alternator. He is asked the year, make, model and engine size, learns the right unit is on the shelf, and is told about the core charge and the warranty. He chooses same-day pickup and is back under the hood by noon with the correct part.
Practical tips
Ask for engine size or the VIN whenever a model had more than one option that year. It is the detail behind many wrong-part sales.
Explain the core charge before checkout, including how to get it back. A charge the customer did not expect looks like an error.
Track which parts come back most. If the same brake calipers return every month, the fitment question for that part needs one more detail to reduce wrong-part returns.
Questions? We've got answers.
Everything you need to know about Reflys, automations, integrations, and getting started.
It asks for make, model, and year up front and matches against your fitment data, so customers get a real answer instead of a guess.
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