The sale, the sentiment, and the return are on the same call.
In retail and ecommerce, purchase intent, delivery frustration, and brand voice all happen mid-conversation. QEval scores every call for the moment a sale was won or lost, not the 2 percent a team can review by hand.
What a retail call actually carries.
Every sales and service call is a purchase moment, a sentiment signal, and a delivery or returns issue at once. A 2 percent sample sees almost none of it.
The sale is won or lost on the call
A buying signal answered with "let me get back to you" is revenue gone. The moment was in the conversation, and a sample never heard it.
Delivery and returns drive repeat calls
Confirmation confusion and unclear delivery windows bring the same customer back. One retailer found 39% of delivery calls were confirmation issues.
Sentiment and brand voice slip
Tone drifts across channels and seasons, and the customer experience your brand promises is uneven in ways a sample cannot show you.
Closing and branding compliance drift
Required closings and branding fade on busy days. One brand had 0% closing-branding compliance until QEval surfaced it across every call.
What QEval hears on a single retail call.
One routine order-and-delivery call with a buying signal in it. This is the difference between a 2 percent sample and 100 percent coverage.
Thanks for calling, this is Jordan. How can I help today?
My order was supposed to arrive yesterday and it did not. I am getting frustrated.
Let me check. It looks delayed, should be there in a couple of days.
Alright. While I have you, do you sell a matching case for it?
Not sure, honestly. Let me just get your delivery sorted first.
You are all set. Bye.
Acknowledge the delay and set a firm window, catch the buying signal when the customer offers it, and close with a recap rather than a quick goodbye.
The same calls, finally read in full.
Closing, branding, and PCI on every call
Required closings, branding, and payment handling are checked across 100 percent of calls. One brand went from 0% closing-branding compliance to consistent, caught across every call rather than a sample.
Compliance and redaction →Sentiment and delivery friction, scored
Frustration, confusion, and delivery drivers are scored on every call. A home-furnishings retailer improved sentiment 8 percent in 90 days and found 39 percent of delivery calls were confirmation issues.
Customer intelligence →The buying signals agents are missing
Purchase moments and upsell openings are surfaced on every call. A luxury jewelry retailer lifted its purchase ratio 30 percent and cut cart abandonment 9 percent.
Revenue intelligence →Why handle time and repeat calls climb
AHT and repeat-contact drivers are clustered automatically. A quick-service brand cut AHT 22 percent and repeat contacts from 7% to 4.5%, and the jewelry retailer cut AHT two minutes.
Auto QA →Coaching tied to the moment
Missed sales and brand slips are coached to the second they happened. A furniture retailer lifted agent behavior scores 20 percent, and a quick-service brand lifted its QA score from 55% to 65%.
Coaching and performance →Your data never leaves to an outside model
Payment and personal data are redacted before any model runs, and the Mixture-of-Experts model is built and run in-house. Nothing trains a third-party AI.
Security and trust →Luxury jewelry retailer: A leading luxury jewelry retailer ran QEval® across its contact-center calls, scoring 100 percent instead of a sample. QEval® surfaced the buying signals agents were missing and the friction in the purchase portal. The retailer lifted its purchase ratio 30 percent, raised CSAT 4.6 percent in 180 days, cut average handle time by two minutes, and reduced cart abandonment 9 percent.
Home-furnishings retailer: A national home-furnishings retailer reached 95 percent call coverage, improved customer sentiment 8 percent in 90 days, and found that 39 percent of delivery calls were confirmation issues it could fix.
Quick-service restaurant (QSR) brand: A national quick-service restaurant brand cut average handle time 22 percent and documented $420K in savings with a 5.2-month payback.
All outcomes attribute to the organizations, anonymized at their request.
What QEval helps you evidence.
QEval documents adherence across every interaction. It surfaces and records; it is the evidence layer your compliance and brand teams use, not a substitute for legal counsel.
Card numbers taken over the phone are caught and redacted at ingest via Named Entity Recognition, before storage.
Recorded-line notice and marketing-consent language flagged when missing, across every call rather than a sample.
Policy adherence on returns, refunds, and price adjustments scored, with the transcript moment attached as evidence.
Promotional and pricing claims monitored for accuracy, so a misstatement surfaces before it becomes a complaint.
Required branding and closings checked on 100% of calls, so the experience your brand promises is consistent.
Complaint signals detected and routed in real time, with a full audit trail from score to the words that triggered it.
QEval surfaces, scores, and documents adherence to your policies and applicable regulations. It does not provide legal advice, and the items named here are illustrative of what QEval helps you monitor, not a complete compliance checklist.
Retail lives in customer, revenue, and operational intelligence.
Quality and compliance is the floor. The value compounds in sentiment, purchase moments, and the delivery and handle-time drivers, all read from the same calls.
Questions sales and service ask.
Can QEval spot missed sales and upsell moments?
Yes. Buying signals are scored on 100% of calls, with the moment attached. A luxury jewelry retailer lifted its purchase ratio 30 percent and cut cart abandonment 9 percent acting on exactly these.
Does it help with delivery and returns volume?
Yes. Delivery and returns drivers are clustered automatically. A home-furnishings retailer found that 39 percent of delivery calls were confirmation issues it could fix, and a quick-service brand cut repeat contacts from 7% to 4.5%.
We already have QA from our CCaaS. Why add QEval?
CCaaS-native QA typically scores a small sample at 65 to 70% accuracy. QEval scores 100% of calls at the 94%+ contractual SLA and reads beyond compliance into sentiment and revenue, where most of the value sits.
How fast can this be live?
30-day deployment, contractual. A quick-service brand saw a 5.2-month payback, and the documented customer-average is ROI in 120 days, with 60-day exit rights.
Bring us a week of your sales and service calls.
We will score a real sample of your sales, service, and returns calls and show you the buying signals, the delivery friction, and the sentiment your current program is not catching.