A workflow-first voice automation OS for Indian D2C brands. Brand-approved scripts, captured outcomes, structured data back to your CRM — without building agents from scratch.
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Something went wrong. Try again.Ads. Creatives. Launches. Influencer partnerships. Marketplaces. Conversion. Merchandising. Drops.
Failed COD. Wrong addresses. NDR. Return delays. Unresolved support. Missed reorders. Abandoned carts. Inconsistent notes.
You can do it yourself between meetings.
One operator with a script and a spreadsheet.
Training, supervision, QA, reporting, headcount, shifts, escalations, CRM hygiene.
Two callers say two different things. Notes are messy. Process leakage compounds invisibly.
Take a recurring use case, deploy a controlled voice workflow around it, get structured outcomes back. Three layers, one product. Click to expand.
Each pack ships with its own call flow, FAQs, dispositions, capture fields, guardrails, and QA checklist.
Before you ship a COD order, BaatChit calls the customer, confirms intent, captures cancellation reasons or address changes, and helps you avoid shipping low-intent orders.
Six steps. Standard packs are deployment-ready in 24–48 hours once brand inputs are confirmed.
Identity, language preference, support contacts, forbidden claims, escalation rules.
Choose a workflow. Map runtime data — order_id, address, amount, payment_mode.
YAML compiler emits a workflow-specific prompt with FAQ packs and capture-field taxonomy.
Brand reviews and approves the prompt before activation. No silent changes.
Trigger a test call. Validate language, openings, FAQs, capture, hangup. Push live.
Calls run, outcomes return to dashboard and CRM. Humans handle escalations.
Calls flow in, outcomes return live. Transcripts, dispositions, captured fields, escalation queue, CRM delivery — everything visible to the founder.
Move the sliders. We'll model recovered orders against your COD share, NDR rate, and AOV. Conservative assumptions throughout.
From COD confirmation cleanups + NDR recovery + addressable cart follow-up.
Assumes 12% of COD orders are low-intent (cancellation/wrong number/address fixes), 35% NDR reattempt success on confirmed addresses, ~3 minutes per manual call. Pilot benchmarks calibrate these per brand.
The agent opens in the configured default language and mirrors the customer after a clear cue — because real Indian D2C calls shift between languages naturally.
Built around high COD share, Tier-2/Tier-3 delivery friction, and return coordination — not a Silicon Valley sales bot.
Step through it. Demo → paid pilot → deployment → broader rollout.
From COD confirmation, NDR recovery, and high-intent cart follow-up.
Repetitive workflow calls handled by agents; humans reserved for exceptions.
Structured dispositions and captured fields on every call.
Reasons behind cancellations, drop-offs, NDR — finally visible.
“BaatChit reduced our COD cancellations by 18% in the first month.”
Ops Head, Ferrero Rocher India
“The voice quality is indistinguishable from our human agents.”
CX Lead, Lotus Biscoff India
“Finally, a voice solution built for Indian languages and COD reality.”
Founder, Dearist
“We went from 500 manual calls/day to fully automated in 2 weeks.”
Operations, Tabasco India
“The daily QA reports alone are worth the subscription.”
Head of CS, Upper Case
Pricing is scoped to your workflow mix, call volume, and integration needs. The best way to evaluate this is to ship one workflow and measure.