MT Marsel Tsepoday
RU UA EN
Discuss a project
Turnkey service

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.

Request a pilot Implementation stages
1
Call → text Every conversation transcribed, 92–96% accuracy
2
Text → score An LLM tags script steps, objections, rejection reason, tone
3
Score → decisions Dashboards by agent, script and order-loss reasons

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

Week 1

Audit

Telephony, recordings, scripts, call center KPIs. We form loss hypotheses.

Weeks 2–3

Pilot

Analytics on 500–1,000 real calls: tagging tuned to your scripts and categories.

Weeks 4–5

Integration

Telephony and CRM integration, dashboards, alerts on conflict calls.

Week 6+

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 →
+19% call-to-order conversion
+11% average order value from upsells
−40% supervisor QA time
×4 faster new-agent onboarding

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.