Every ticket answered with the order already in hand.
The AI reads the ticket, pulls the order, tracking and policy, drafts the reply and resolves the routine ones outright, escalating only the rest. Press run.
Deflection
0%
First response
6 hrs
CSAT
·
Agent hours freed / wk
0
Ticket queue
inbound · live
Maria G.
Where is my package? · #TX-10482
#TX-10482Queued
James R.
Wrong size, need exchange · #TX-10485
#TX-10485Queued
Aisha K.
Refund not showing yet · #TX-10491
#TX-10491Queued
Leo P.
Item arrived damaged · #TX-10493
#TX-10493Queued
Sofia M.
Charged twice, disputing · #TX-10498
#TX-10498Queued
Pipeline
per ticket
1
Read
Intent and order number from the ticket
2
Pull context
Order, tracking, refund and policy
3
Draft
Reply grounded in the real order
4
Resolve or route
Send routine, escalate the rest
Context pulled per ticket
Order recordLive trackingReturn policyRefund statusPast tickets
Routine resolved on its own. Only the edge cases reach a human.
The impact
Most tickets answer themselves when the order is already in hand.
The routine where-is-my-order and exchange questions clear on their own, so the team spends its hours on the cases that actually need a human.
Typical projectionE-commerce support · industry benchmark
Tickets deflected
0%→71%
▲ routine resolved end to end
First response time
6 hrs→40 sec
▲ replies grounded in the real order
Agent hours freed / week
0→38 hrs
▲ humans on the edge cases only
Where the ticket queue lands
Steady state
Projection, not a guaranteed result. Typical estimated range for businesses in this sector based on typical volume. Individual results vary. Shown as system capability, not a specific client case.
