LIVE CHAT

Turn website live chat into a sustainable service entry point

Shulex AI customer service employees support website live chat in real time, answering pre-sales questions, logistics checks, order issues, and after-sales needs so brands capture high-intent visitors and reduce drop-off caused by waiting.

For cross-border ecommerce, DTC sites, and multichannel brands handling website inquiries, pre-sales conversion, order checks, logistics explanations, and after-sales intake.

LIVE CHAT SCENES

Website live chat is the most direct service entry point for high-intent customers

customer related details Live Chat of related details, related details in related details Products, confirm related details, lookuporderstatus, or handleafter-salesneeds. related details whether and related details, related details, refund, negative review and related details.

Intent mix68%

pre-sales, order, logistics and after-salesissue related details Chinese related details.

related details issueAI identifyknowledge related detailshandle / route
01 · INTENT

related details in etc. related details confirm

related details not and related details, related details in related details of customer related details, pre-salesissue related details can related details after-sales related details.

02 · JUDGEMENT

related details

customer service need related details lookupproduct, order, logistics and policy related details, related details reply of related details not is related details, related details is determine.

03 · ACTION

for related details need related details

Live Chat of value not related details is onlinereply, related details is in customer related details in related details, put issue, related details and handle related details.

LIVE CHAT SERVICE SOLUTIONS

What the AI customer service employee handles in Live Chat

Shulex not is related details provide one related details, related details is let AI customer service employee related details: identifycustomer related details, related details product, order, logistics and after-salesknowledge, related details high-frequencyissue, related details put need determine of related details route.

related details? many related details to?
already identify for pre-salesinquiry, related details in related details product related details and related details rules.
Intentpre-salesStatuscan automaticreplyNextrelated details
related details 1
Intentrelated details understand related details issue

customer is in inquiry Products, lookuporder, related details is related details after-salesneeds?

AI identifyissuetype and related details, and related details issue related details different handle related details.

related details identify · issue related details category · related details determine
Knowledgebased on unifiedknowledgereply

related details categoryissue, different customer service related details not related details not related details?

based on product related details, logisticspolicy, returns and exchangesrules, FAQ and related details SOP related details answer.

product related details · service policy · FAQ
Fieldsrelated details

human agents related details before, related details which related details?

AI related details customer related details order related details, related details, issue related details, related details or related details, related details.

order related details · related details · issue related details
Riskidentifyrisk and route

complaint, refund related details, negative reviewrisk related details give related details?

AI for related details riskissue related details, let human agents related details to need determine of ticket.

complaintidentify · related details · human agentsroute
Datarelated details data

which issue related details many, which related details resolve?

put issuetype, not yet resolve related details, high-frequency related details and related details in related details.

issuetype · not yet resolve related details · related details
PRIORITY SCENARIOS

Live Chat scenarios to prioritize for AI

related details from related details and etc. related details experience of issue start: pre-salesconfirm, orderlookup, logistics related details and after-salesneeds, let related details inquiry not related details is related details.

01pre-salesinquiry: related details, related details, usescenario, related details and related details policy 02order and logisticslookup: orderstatus, related details, logistics related details and related details 03after-salespolicy related details: returns and exchanges, warranty, refund, invoice, related details and related details 04riskissueroute: complaint, compensation, related details logistics, negative reviewrisk and complexdetermine
FAQ

FAQ

How is Live Chat different from a regular chat plugin?

related details resolve related details issue, Shulex related details let AI customer service employee related details onlineinquiry related details, based on unifiedknowledge, business rules and customer related details handleissue.

related details from which issue start connect?

recommendations related details from pre-salesinquiry, order and logisticslookup, after-salespolicy related details and riskissueroute start assess.

Can it query order, logistics, and product information?

can related details already connect of related details and business rules related details; related details systemlookupcapability, connect related details and related details scope need by related details before related details assessconfirm.

How are complex issues handled?

related details and complaint related details, compensation related details, complexafter-sales or related details valuecustomerduring communication, AI can related details identifyrisk, related details, related details route give human agentshandle.

Start by deciding which Live Chat issues should be handed to AI first

Shulex can based on related details of related details inquirystructure, assesshigh-frequencyissue, human agents related details and can related details connectscenario, help related details determine Live Chat of AI customer service employee related details from related details in start related details.