Sales-signal detection at scale
Cross-sell and upsell cues, promo mentions, purchase intent — spotted on every call, not remembered from a few.
Sales Intelligence → CX & Revenue
Your customers call. Do you know what they're telling you?
Every 'where's my order' call carries CX data, churn signals and upsell chances. InOro reads 100% of them — so you fix root causes instead of surveying a fraction, and catch revenue your scripts are leaving on the table.
The blind spot
Surveys tell you scores. Calls tell you why.
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Surveys show the score. Conversations explain why.
Surveys only include customers who choose to respond. Conversation analysis helps you understand what shapes their experience — which problems recur, what customers expect and what causes dissatisfaction.
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Peak season hides everything
Q4 volume triples, QA coverage collapses exactly when brand risk is highest.
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Full analysis reveals missed sales opportunities
A small sample can easily miss conversations where agents fail to mention a promotion or additional offer. Analyzing every conversation reveals the scale of the issue and shows where the team is losing sales opportunities.
Cost of status quo
The invisible loss
You optimize checkout for 2% conversion gains while the voice channel loses orders invisibly.
For retail volume
Built for retail volume
Customer sentiment trends
How customers feel about delivery, returns, product lines — trended weekly from real conversations, not surveys.
Root causes of contact
Automatic topic breakdown ('late delivery', 'return status', 'invoice error') with volume and priority — remove the top causes and deflect the calls.
Consumer-credit compliance
Required disclosures for installment and credit offers checked on every sales call.
Compliance →Store & agent benchmarking
Compare teams, locations and campaigns on the same scorecard; find and replicate what the best do.
Two views
Two views of the same customer
| Surveys (CSAT/NPS) | InOro call analysis | |
|---|---|---|
| Coverage | the few % who respond | 100% of callers |
| Tells you | the score | the reason, verbatim |
| Lag | days–weeks | same day |
| Peak season | response rates drop | coverage unchanged |
Ask what customers said this week
What are customers saying about the new returns process?
312 calls mention returns this month; sentiment −18% vs prior process. Top friction: label download (41%). 27 calls include churn language.
Illustrative example with demo data.
The revenue full coverage finds
60%
Calls with promo mention
92%
Order rate when mentioned
Week 1
Time to find it
of full coverage
Anonymized case (retail sales line): agents mentioned the current promotion in only 60% of calls. Where the promo was mentioned, 92% of calls ended in an order. Found in week one of full coverage — invisible on a 2% sample.
Frequently asked questions
We already track NPS and CSAT — what does this add?
The 'why' behind the scores, from 100% of calls instead of survey respondents — plus signals surveys never catch: churn language, competitor mentions, missed sales prompts.
Can it handle seasonal volume?
Yes — per-minute pricing and automatic analysis scale with volume; coverage stays 100% in peak season, when it matters most.
Does it work with our outsourced call center?
Yes — InOro connects to recordings wherever they're made, and benchmarks internal vs BPO teams on the same scorecard. BPO solution
Which calls does it analyze — service, sales, both?
Both, plus reservations and complaints; scorecards are configured per line of business.
What does it cost for a seasonal operation?
From €0.05 per analyzed minute, no per-seat fees — cost follows your call volume. Pricing
Hear what your customers said this week
30-minute demo on your calls. 30-day free pilot.