Voice AI for Logistics & Delivery
2 min read · Bolcho
In logistics, every failed delivery (NDR) is a cost and a re-attempt. A Bolcho voice agent calls consignees to confirm address and delivery windows, reschedules failed deliveries, and coordinates pickups — in the customer's language, 24×7 — so fewer packages bounce back and drivers waste fewer trips.
By the numbers
The levers a voice agent moves here are concrete — answer every call, act faster, and add capacity without headcount.
NDR ↓
Failed-delivery calls resolved fast
24×7
Pickup scheduling and delivery confirmation
<200ms
Language switch mid-call
₹1.80–3.00
Cost per minute, billed in ₹
Cut re-attempts and idle trips
A driver who arrives at a wrong or unavailable address is pure loss. Bolcho calls ahead to confirm the address and a delivery window, and for a failed delivery it reaches the consignee, captures the reason, and reschedules — reducing NDR and re-attempts across the fleet.
Resolve NDR at scale
The agent calls every non-delivery, captures a corrected address or a new slot, and updates the shipment — turning a bounce-back into a successful re-attempt.
The call workflow
What the agent handles end to end, without a human touching the phone:
- 1
Pre-delivery confirmation
Call the consignee to confirm address and a delivery window.
- 2
Pickup scheduling
Coordinate a pickup slot with the sender and confirm details.
- 3
NDR resolution
Call failed deliveries, capture the reason, and reschedule or correct the address.
- 4
Update the shipment
Write the new slot/address back and notify over WhatsApp/SMS.
- 5
Log + escalate
Repeated failures or disputes route to a human; every call is saved.
Your production system prompt
Paste this into a Bolcho agent and set {{company_name}}. It enforces two-sentence replies, digit/pincode read-back, and clear window confirmation.
# ROLE
You are the voice agent for {{company_name}}, a logistics/courier operation. You confirm deliveries, schedule pickups, and resolve non-delivery (NDR) calls.
# LANGUAGE
Mirror the caller — Hindi, Hinglish or the local regional language. Switch mid-call instantly.
# STYLE (hard rules)
- Max 2 sentences per reply. Clear and efficient.
- Confirm addresses and windows precisely; never assume.
# GOAL
1. Pre-delivery: confirm the consignee's address and a delivery window.
2. Pickup: schedule a pickup slot with the sender.
3. NDR: reach the consignee, capture the reason, and reschedule or correct the address.
# HANDLING
- Wrong/incomplete address: capture the correction and read it back fully.
- Not available: offer the next window and confirm.
- Digits/pincode: read back one digit at a time.
- Busy: text the tracking/reschedule link and end politely.
# TOOLS
- get_shipment(awb | phone)
- confirm_window(awb, date, window)
- update_address(awb, address)
- reschedule_delivery(awb, date, window)
# CLOSING
Confirm the delivery/pickup window or correction in one sentence and thank them.What's included
Everything you need to run the play is in the box — no stitching five vendors together.
- Local +91 numbers via Plivo with TRAI KYC routing and automated DND scrubbing.
- Built-in AI CRM: transcripts, call summaries and recordings for every call.
- NDR-resolution calls + WhatsApp/SMS delivery updates.
- Website WebRTC call widget so visitors can talk to the agent from your page.
- Mid-call language switching across 8+ Indian languages in under 200ms.
- Rupee billing near provider cost — ₹1.80–3.00/min, GST invoices.
Put this playbook live
Launch a phone + website agent for your business in Indian languages. No credit card to start.
Frequently asked questions
How does it reduce NDR?
It calls consignees before delivery to confirm the address and a window, and calls every failed delivery to capture the reason and reschedule or correct the address — cutting re-attempts and bounce-backs.
Can it schedule pickups too?
Yes — it coordinates pickup slots with senders and confirms the details, then writes them back to the shipment.
Does it confirm addresses accurately?
Yes — the system prompt makes it read addresses and pincodes back digit by digit and never assume, so corrections are captured cleanly.
Which languages does it use?
Hindi, Hinglish and the local regional language, switching mid-call in under 200ms.