Case study · D2C · Retail

Turning 500 daily D2C calls into sales intelligence — ₹22.5L saved per month

Conversation intelligence at 100% coverage exposed competitor mentions, purchase intent and EMI-compliance issues that had been invisible under manual QA.

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500+ customer calls per dayNational D2C retail brand (anonymized)

₹0L

monthly savings potential (conservative)

0 hrs

monthly QA time freed

+0%

purchase intent captured before lead went cold

0–99%

cost reduction per call vs manual review

Business challenge

95% of calls never reviewed — buy signals lost daily.
Manual QA missed competitor mentions and upsell cues.
Agent coaching limited to 2–3 calls per agent per month.

Solution delivered

Conversation intelligence with 100% call coverage.
Customer intent detection: purchase, churn, complaint.
Competitor mention flagging — auto-routed to sales daily.
Agent performance scored on every call, not 2–3 per month.

Business impact

The numbers, in full.

₹0L

monthly savings potential (conservative)

0 hrs

monthly QA time freed

+0%

purchase intent captured before lead went cold

0–99%

cost reduction per call vs manual review

Products used

Post-Call Analytics Tele-sales solution

Run a two-week shadow pilot on your portfolio.

Your recordings, our pipeline, your QA team comparing AI flags against their own sample. Decision-ready in 14 days.

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