Traditional call report
- Calls
- 1,284
- Average duration
- 2:43
- Missed calls
- 87
The calls happened. What happened inside them?
Built for businesses in Azerbaijan
Why do customers call but leave without ordering?
Zəngli analyzes call recordings to identify what gets in the way of an order: delivery times, unavailable items or how an operator responds.
No-obligation demo · Calls in Azerbaijani, Russian and Turkish
Built for businesses in Azerbaijan.
Pilot projects are open for restaurants, delivery and service businesses.
- Calls in Azerbaijani, Russian and Turkish
- Phone-system compatibility discussed during the demo
- Pilot projects open
The problem
Your call center holds more information than your reports.
A standard report shows call counts, durations and missed calls. What the customer wanted, why they didn’t order, what the operator said: all of that disappears every day, because no manager can listen to thousands of calls.
Zəngli
- 126 potential orders lost
- 31 delivery-time objections
- 27 requests for unavailable products
- Operator Nigar: conversion ↓ 12%
- “Family menu” requested 46 times this week
What happened in the conversation, and what to do about it.
What managers usually can’t see
- what the customer actually wanted
- why they didn’t buy
- what the operator said
- what customers complain about
- why conversion changed
- what customers keep asking for
One call, analyzed
A call, summarized.
Review the key moments and a coaching suggestion without replaying the whole call.
Demo data- Customer
Hi, I wanted a large pepperoni.
- Operator
Sorry, pepperoni is sold out right now.
- Customer
Oh… maybe another time then.
- Operator
You can choose another pizza.
- Customer
No, thanks.
How it works
From recording to review in four steps.
Zəngli works with the calls you already have. You only see the results.
- 01
Upload recordings
Upload recordings. We can discuss compatibility with your phone system during the demo.
- 02
Zəngli analyzes
AI extracts the topic, outcome, problem, customer intent and operator behaviour from every conversation.
- 03
See the results
Dashboards, trends, calls that need attention and concrete findings, without listening.
- 04
Coach your operators
Use call examples to show how to suggest a replacement and confirm an order.
Product
The questions owners ask. The answers in your calls.
Demo dataWhy are orders lost?
Explore the main reasons orders are lost, by branch and with example calls.
Delivery time: 31; Unavailable: 27; Price: 24; Operator: 18; Unclear info: 14; Competitor: 9
Which operator sells better?
Conversion, upsell rate and behaviour differences, side by side.
Aysel: 78%; Kamran: 71%; Nigar: 59%
What do customers complain about most?
Complaint themes and how they move week over week.
Late delivery: ↑ 18%; Cold food: ↑ 6%; Wrong order: →; Courier behaviour: ↓ 4%
What could you sell more of?
Add-ons that were never offered and missed cross-sell moments.
Add-on offered: 23%; Calls with no drink offered: 412
What do customers want?
Repeated product and service requests: a direct signal for your menu.
Family pizza; Gluten-free; 1+1 promo; Card payment
What changed this week?
Zəngli spots the change itself. You don’t wait for a report; you get an alert.
Delivery complaints ↑ 18%; Narimanov branch: conversion ↓ 6%; “Family menu” requests ↑ 46
Lost revenue
See why sales are lost.
Price, delivery time or unavailable items? Compare the reasons customers leave without ordering.
Demo data1,284
calls
943
purchase-intent calls
817
orders
126
lost opportunities
Estimated lost revenue≈ 4,850 ₼
average check38.5 ₼
126 lost opportunities, by reason
- Delivery time31
- Product unavailable27
- Price24
- Operator behaviour18
- Menu unclear14
- Other12
Compare calls that ended without an order by reason, branch and operator.
Zəngli does not promise to map every call to revenue. With an order-system or POS integration, lost revenue is calculated more precisely; without one, it is shown as an estimate based on your average check.
- potential lost orders
- estimated lost revenue
- where data allows
Want to see this on your own calls?
Request a demoOperators
See what your best operator does differently.
Show your team how to suggest a replacement and confirm an order using call examples.
Demo dataBehaviour observed in calls
High conversion
Aysel
78%
- Confirms the address early
- Offers an alternative when a product is unavailable
- Mentions the combo offer
- Confirms the delivery time
- Ends with a strong closing question
Low conversion
Nigar
59%
- Gives up when a product is unavailable
- Rarely offers alternatives
- Misses the upsell moment
- Long silences
- Weak close
Choose specific calls to discuss with an operator during coaching.
Voice of the customer
Your customers tell you what they want every day.
When the same questions come up across hundreds of calls, they become a clear signal for your menu, pricing and service.
Demo data“Do you have a family pizza?”
46 mentions
“Can it be faster than 30 minutes?”
34 mentions
“Anything gluten-free?”
21 mentions
“Is the 1+1 promo still on?”
18 mentions
What aggregated conversations reveal
- Product demand
- Common objections
- Complaints
- Pricing feedback
- Competitor mentions
- Recurring questions
This goes beyond managing operators: it is customer research, every day, without sending a survey.
Built for the everyday customer conversations of a local market.
Three languages
Analysis of calls in Azerbaijani, Russian and Turkish. Mixing languages within one call is normal here, and Zəngli is being built with that in mind.
Local context
Manat, districts, branch names, local menu terms: the dashboard speaks the language of your business.
Your existing telephony
You can start by uploading recordings. We can discuss a suitable phone-system connection during the demo.
Industries
For restaurants.
Zəngli is built first for restaurants, pizza chains and delivery businesses that take orders by phone, where hundreds of calls a day turn into results.
- Why callers didn’t place an order
- Operator conversion
- Missed upsells
- Delivery-time complaints
- Unavailable menu items
- Repeated menu requests
- Branch comparison
- Complaint detection
- Promotions customers ask about
- Call volume and outcome trends
Branch comparison
Demo data| Branch | Conversion | Complaints |
|---|---|---|
| Narimanov | 71% | 9 |
| Yasamal | 66% | 14 |
| Khatai | 61% | 22 |
Not only for restaurants.
For any business where customer calls affect revenue or service quality.
Clinics
Patients who never booked, price questions, demand by doctor.
Service businesses
Lost bookings, recurring requests, location comparison.
Automotive
Service appointments, spare-part requests, unanswered opportunities.
Real estate
Which properties get asked about, which viewings fall through and why.
Retail
Availability requests, price objections, delivery questions.
Example calculation
What could fewer lost orders mean for revenue?Example
How might monthly revenue change if fewer callers leave without ordering? Explore this example calculation.
- Calls per month
- 20,000
- Potential lost orders
- 1,700
- Average check
- 28 ₼
Recovered per month (estimate)
4,760 ₼
Per year
57,120 ₼
This is a hypothetical example, not a measured Zəngli result. Real numbers depend on your business, call volume and data quality.
FAQ
Frequently asked questions
What is Zəngli?
Zəngli is a platform that analyzes customer calls with AI. Instead of listening to calls one by one, you see in a ready-made dashboard why orders are lost, how operators perform and what customers want.
How are calls analyzed?
Call recordings are passed to Zəngli. Each conversation is transcribed, then AI produces a structured result: topic, outcome, reason, customer intent and operator behaviour. You see the findings, not the technical process.
Does it work with our existing phone system?
Compatibility depends on your phone system and access to recordings. We can confirm the options during the demo. You can also start by uploading recordings.
Which languages are supported?
Calls in Azerbaijani, Russian and Turkish are analyzed. Mixing several languages in one conversation is normal in the local market, and Zəngli is being built with that in mind.
How is our data protected?
Before a pilot, we can review where recordings would be processed, which services would be involved, retention periods and access permissions.
Can businesses other than restaurants use it?
Yes. It fits any business where customer calls affect revenue or service: clinics, service chains, automotive, real estate, retail.
How does the demo work?
You fill in the form, we get in touch and show you the platform on demo data. If you want, we start a pilot with a portion of your own call recordings.
Demo
See Zəngli in action.
We’ll show you an example call analysis and the dashboard using sample data. Then we can discuss a pilot with your recordings.
- Calls in Azerbaijani, Russian and Turkish
- Phone-system compatibility discussed during the demo
- Pilot projects open
What gets in the way of an order?
Walk through an example call analysis in a demo.