Real Conversations. Real Outcomes
32 orders booked. 135 warm callbacks.
Sat Kartar used a Hindi and Hinglish voice agent to qualify product interest, book orders, and capture delivery details. One campaign returned 167 qualified outcomes for the team to act on.
A conversation, ready for fulfillment.
- Orders booked
- 0
- High-intent callbacks
- 0
- Calls placed
- 0
A useful call needs a reliable next step.
Outbound D2C teams have two jobs on the same call: understand the customer’s interest, then record what should happen next. An order also needs a usable delivery address, often spoken across several pieces of information.
Sat Kartar wanted its first conversation to cover qualification and booking while leaving room for customers who needed a human callback. The workflow had to turn spoken delivery details into structured information.
From a first question to the right outcome.
- 01
Follow the caller’s language
Alka handles the product conversation in Hindi or Hinglish, following the customer’s input. A warm tone and immediate pauses for interruptions give callers room to ask questions and explain their situation.
- 02
Understand the interest
The agent gathers relevant context and responds using the configured product script. Customers who want to speak further with a person can request a callback with the conversation’s context carried forward.
- 03
Check the delivery area
For customers ready to order, a location lookup checks the spoken pincode and confirms the state and area. Spoken Hindi digits become a six-digit query for the lookup tool.
- 04
Capture the booking
The agent collects the house number and landmark before confirming the booking. The campaign records orders transferred, purchases with address captured, and callback requests as distinct outcomes for the team.
167 outcomes the team could act on.
The agent placed 7,861 calls and completed 3,160 conversations over 95 hours of automated talk time. The campaign recorded 135 callback requests, 18 orders booked or transferred, and 14 purchases with address captured.
The two order categories total 32 booked orders. Callback requests remained a separate next step for human follow-up. Another 4,701 dials ended without a completed conversation, so the team could focus on customers who had expressed interest and agreed to continue.
Address capture used a staged pincode and location lookup rather than relying on an unstructured note. The agent confirmed the delivery area before collecting the remaining address details and the landmark. That gave the booking workflow specific fields to carry forward, while the outcome categories kept a request for a later conversation distinct from an order.
Different outcomes. A clear next step for each.
- Callback requested0
- Order booked / transferred0
- Purchase agreed & address captured0
- Conversations completed
- 0
- Automated talk time
- 0 hours