Volume spikes faster than headcount.
A flash sale triples your ticket queue overnight. Seasonal temps take weeks to ramp and never see the edge cases coming.
Retail & q-commerce
Run peak-season support volume without hiring for it.
Refunds, WISMO tickets, fraud holds, and returns pile up the moment a campaign lands. Qrambo's agents clear the routine ones and route the judgment calls to your team, with a full audit trail on every decision. Catalogue and product data enrichment, returns and refunds inside policy, and order or billing complaint resolution sit in the same loop.
Trusted by teams shipping AI to production
Why it stalls
The work that eats retail ops teams alive.
Every manual refund eats margin.
Agents copy order data between the helpdesk, the OMS, and the payment processor. Minutes per ticket, thousands of tickets.
One wrong refund is a chargeback.
Fully autonomous refunds scare finance. You need a human on anything above threshold, and a record of who approved what.
How it works
How Qrambo runs retail operations.
AI runs the flow, your people own the last call, and the system learns from every correction. Live in production in about three weeks, not six months.
Read the order, not just the ticket.
Qrambo's agent pulls full context on every WISMO, refund, and return (order status from the OMS, payment state from the processor, carrier tracking) and drafts the resolution before a human opens the case. Clean tickets clear on their own; anything sitting on a fraud hold or a refund above your threshold is staged for approval.
Approve the money calls in one click.
Every above-threshold refund, chargeback response, and fraud-flagged order reaches an operator with the evidence already assembled and a recommended action attached. Your agent approves or overrides in one click, and the decision is logged with who signed off. That is the record finance needs when a chargeback is contested.
Coverage climbs every week it runs.
Each approval and override teaches the agent your refund policy, return rules, and fraud thresholds, so the share of tickets it settles unattended rises from a 78% baseline by roughly 1.4 points a week. When a flash sale multiplies volume 10x overnight, the same agents absorb it without a seasonal hiring scramble.
Where Qrambo starts
The workflows we ship first for retail.
Each one runs the routine cases end-to-end and routes the judgment calls to your team, with a clean audit trail behind every decision.
E-Commerce
Merchant onboarding
6,000 images a day and a 25-person QA bottleneck: the catalog-review flow that took time-per-task from 90 seconds to 1.5 and the team from 25 people to 5.
Support ops
Customer support.
Triage on intake across every channel: severity, dedupe, route, resolve tier-1 inside policy, and surface patterns by impact.
68%
WISMO and refund tickets resolved without a human touch
post-week-4 average
3.2s
Median time to route a fraud-flagged order to review
p99 · 6.4s
40%
Lower cost per contact at peak vs. seasonal hiring
first holiday cohort
30days
From kickoff to first workflow live in production
median
Go deeper
See it work in retail.
A real deployment, plus the benchmarks and playbooks behind it, with the numbers, the flows, and widgets you can play with.
Case Study
How Getir ran 200K product onboardings a month with 5 people, not 25
6,000 images a day, a 25-person QA bottleneck, and GMV lost every hour a restaurant stayed offline. Here is the catalog-review flow that took time-per-task from 90 seconds to 1.5.
Benchmark
25 days to first sale: the marketplace activation benchmark
Across 65,000 sellers, average time from signup to first sale on enterprise marketplaces is 25 days (Mirakl, 2023). Catalog review is the hidden tax. Here is the math.
Industry
Clearing peak-season support volume without hiring for it
A flash sale triples the queue overnight. WISMO, refunds, and fraud holds pile up faster than temps can ramp. Here's the human-in-the-loop pattern that absorbs the spike.
FAQ
Retail AI agents, answered.
How does Qrambo clear WISMO and refund tickets without getting them wrong?
The agent reads each ticket against live order, payment, and carrier data, drafts the resolution, and settles the routine cases end-to-end. Anything above your refund threshold or flagged for fraud is routed to a human, who approves in one click. After the first four weeks, teams typically see about 68% of WISMO and refund tickets resolved without a human touch.
Can Qrambo onboard marketplace sellers and their catalogs, not just handle support?
Yes. The agent ingests seller documents and product feeds, validates SKUs, and stages listings for activation, escalating only the incomplete or non-compliant ones. Getir runs about 200,000 onboardings a month this way, cutting handling time from 90 seconds to 1.5 seconds and the onboarding team from 25 people to 5. The marketplace industry benchmark is roughly 25 days to a seller's first sale.
How do you stop an AI agent from approving fraudulent refunds or triggering chargebacks?
Qrambo never auto-approves money above the limits you set. Fraud-held orders and above-threshold refunds are routed to an operator in about 3.2 seconds median, with the order and payment evidence already assembled. Every approval is logged with a reviewer-attributable trail, so a contested chargeback has a defensible record behind it.
Does it connect to our helpdesk, OMS, and payment processor?
Yes. Qrambo reads and writes across your existing helpdesk, order management system, and payment processor rather than replacing them, so agents work from the same data your team does. Nothing has to be re-platformed to go live.
How fast can we go live before peak season?
Median time from kickoff to a first workflow live in production is 30 days, so a program started ahead of a holiday or campaign window is running before volume lands. Getir reached same-day go-live on its onboarding workflow. Coverage then improves week over week as the agent learns your policies.
How is Qrambo priced for e-commerce volume?
Pricing scales with the work the agents handle, not with seat count, so a peak-season spike in WISMO and refund volume doesn't mean a matching spike in headcount cost. Teams typically see roughly 40% lower cost per contact at peak versus staffing up with seasonal temps.
Clear the queue before the next campaign lands.
Point Qrambo at your busiest ticket type, whether that's WISMO, refunds, or seller onboarding, and watch it settle the routine volume while your team keeps the judgment calls. Start with one workflow and measure the coverage yourself.