AI support built for modern retail operations
Retail teams lose revenue when shoppers wait on sizing, shipping, and return questions. Verly handles the repetitive volume, surfaces the right order context instantly, and keeps your human team focused on VIP issues and exceptions.
Built for CX, support, and retention teams handling pre-purchase and post-purchase demand.
Answer order-status, return, and delivery questions in seconds.
Turn support into a revenue surface with product recommendations and recovery offers.
Keep Shopify, WooCommerce, and fulfillment data available inside every conversation.
How Verly works for e-commerce & retail
Verly gives this team one support layer across web chat • whatsapp • voice. It answers from approved knowledge, takes the next operational action when possible, and routes exceptions to the right human with context already captured.
CX, support, and retention teams handling pre-purchase and post-purchase demand.
Why e-commerce & retail teams change the support model
For cx, support, and retention teams handling pre-purchase and post-purchase demand., the real issue is not just volume. It is repetitive operational work arriving across web chat • whatsapp • voice, plus slow routing when a case finally needs a person.
Shoppers abandon carts when support goes dark
Order-status tickets bury the team
Returns create operational drag
How Verly runs the first layer of support for e-commerce & retail
The workflow is simple: answer from approved knowledge, collect the right context, complete the action when possible, then route only the exceptions that still need human judgment.
Catch the demand instantly: Verly answers shipping, delivery, return, and product questions across web, WhatsApp, and voice without making shoppers wait in queue.
Use live commerce context: It pulls order status, fulfillment events, and policy rules into the conversation so the answer is specific to the shopper's situation.
Resolve or route with context: Common motions finish automatically, while damaged shipments, exceptions, or VIP cases escalate to the team with the order summary already attached.
How the workflow looks once it is live
The goal is not a generic chatbot interaction. It is a guided support motion that resolves the request, captures the right context, and only escalates when necessary.
After-hours shipping question: Verly checks shipment status, confirms ETA, offers expedited options if needed, and shares a tracking link with no agent required.
Self-serve exchange flow: Verly verifies the policy window, confirms replacement inventory, generates the exchange flow, and updates the customer instantly.
Pre-purchase conversion support: Verly answers the product question, recommends the right SKU, and suggests a bundle that improves AOV during the same conversation.
Where automation starts and where humans step in
The strongest solution pages do not pretend everything should be automated. They show the first high-volume motions Verly should own, and the situations your team should still receive with judgment and context.
Core pressure points this page is designed around
Shoppers abandon carts when support goes dark
Questions about shipping, sizing, stock, and delivery timing often show up after hours or during campaign spikes. When nobody responds quickly, the purchase disappears.
Order-status tickets bury the team
"Where is my order?" and "Can I change my address?" should not consume your highest-volume support queue, but they usually do.
Returns create operational drag
Manual checks for eligibility, policy windows, and exchange options slow down customers and force agents into repetitive admin work.
Peak demand is expensive to staff
Holiday launches, creator drops, and flash sales create support surges that require coverage immediately, not a hiring cycle.
Common questions
Ready to redesign your e-commerce & retail support workflow?
Start with one high-volume motion, prove resolution quality, then expand across the channels and workflows your team actually operates every day.
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