AI automatically analyses 100% of calls, finds lost orders, monitors upsell and helps grow revenue without extra staff.
Avg Score
8.4
↑ +0.6
Upsell
34%
↑ +12%
Lost
7
↓ −3
Duration
2:48
↓ −18s
Operators today
AI insight: Olena M. does not offer drinks in 71% of calls. Potential extra revenue — UAH 4,200/month.
The hidden cost of every call
Without analytics you don’t know what’s happening. Here are the most common problems.
Operator spends 2 minutes searching the menu
→ Customer hangs up and orders from a competitor
≈23% of calls end without an order
No drink or dessert was suggested
→ Lost additional revenue on every order
Average upsell — UAH 40–120 per check
Wrong delivery address
→ Order returned and negative review left
1 mistake = loss up to UAH 400 + reputation damage
💡 Even 10 missed upsells per day can cost a restaurant tens of thousands of UAH monthly.
At UAH 50 average upsell: 10 × 50 × 30 = UAH 15,000/month. What about 20 missed calls?
How it works
Recording is automatically delivered via webhook from your telephony system
Conversation is converted to text with operator / customer role recognition
Evaluates service quality, upsell, mistakes and reasons for refusals
Ready insights and concrete recommendations for each operator
What you get
AI evaluates every call against a clear checklist — greeting, order clarification, upsell offer, address confirmation.
→ You always know what’s happening on every call.
Find out exactly why customers don’t order: long wait, item not on menu, price dissatisfaction.
→ Reduce losses and win back customers.
Track who offers drinks, desserts and sauces. Compare performance across shifts and operators.
→ Increase average check without changing the menu.
Track call duration, reasons for repeat calls and operator load in real time.
→ Increase capacity without extra staff.
Product
All metrics in one place. Clear for the manager, precise for the owner.
Top operator
Марія К.
8.9/10 today
Upsell rate
38%
+11% this week
Lost orders
5
–4 vs yesterday
Avg duration
2:41
–7s vs norm
Upsell leaders
Refusal reasons
Customer sentiment
72%
Positive
19%
Neutral
9%
Negative
AI insight of the day
Calls between 12:00–14:00 have 34% lower upsell. Recommendation — brief the lunch shift.
Integrations
Setup takes less than 10 minutes. No extra equipment or IT team needed.
ROI Calculator
Even +20 upsells/day
For your restaurant that’s:
Case Study
+18%
Average check
+31%
Upsell rate
−22%
Call duration
2 weeks
Implementation
“We had no idea our operators were offering add-ons in only 20% of calls. AI showed us the real picture. In the first month — plus UAH 38,000 in revenue.”
Oleksiy Shevchenko
Owner, Wasabi Express sushi delivery, Kyiv
😔
Before
Operators offered upsell in 22% of calls. The manager was unaware of this problem.
🤖
Process
AI analysed 100% of calls and identified specific reasons and specific operators.
🚀
Result
After a corrective briefing, upsell rose to 53%. Average check +18% in the first month.
FAQ