Marsel TsepodayAI call analytics implementation in e-commerce call centers
A supervisor physically reviews 1–2% of calls. The other 98% is a blind spot where orders get lost. AI analytics transcribes and scores every conversation and shows exactly where the call center loses money.
What AI analytics finds in calls
Rejection reasons
Every lost order classified: price, delivery time, out of stock, unhandled objection.
Script compliance
An automatic checklist per agent: greeting, upsell, order confirmation, objection handling.
Missed upsells
Calls where the customer was ready to buy more, but the agent never offered related products.
Toxic conversations
Conflict calls and complaints reach the manager the same day — not after a negative review.
Demand & assortment
What customers ask for that is not on the site: new SKUs and content ideas come from calls.
Team coaching points
Agent ranking based on real conversations instead of subjective reviews — you see who to coach and on what.
How implementation works
Audit
Telephony, recordings, scripts, call center KPIs. We form loss hypotheses.
Pilot
Analytics on 500–1,000 real calls: tagging tuned to your scripts and categories.
Integration
Telephony and CRM integration, dashboards, alerts on conflict calls.
Scaling
Supervisor training, regular reports, agent development plan.
Implementation results
Numbers from projects in e-commerce call centers with 8–60 agents. First measurable changes come during the pilot, before full integration.
View cases →FAQ
Which telephony systems are supported?
Any telephony with access to call recordings via API or export: Binotel, Ringostat, Asterisk, cloud PBX. If recordings exist, analytics is possible.
How long does implementation take?
A pilot on real calls takes 2 weeks. Full rollout with dashboards and team training — 4–6 weeks.
How accurate is transcription?
For Ukrainian and Russian speech — 92–96% depending on recording quality. More than enough for category and script analytics.
What about data security?
On-premise deployment, customer PII anonymization and an NDA signed before the audit starts.