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AI systems / AI voice notifications for logistics

Samleng

I designed and built a native-language calling platform that tells customers their parcel has arrived. The client paused before contract, so it never ran in production.

181 of 181 tests, then a pause

Client
One of Southeast Asia's largest logistics networks (de-identified)
Role
I designed and built it through Ongkrong Consulting
Format
Automated native-language calling platform
Year and length
2026, about 7 weeks
A depot packing desk from above: tied parcels, a phone, a blank waybill form and a hand-drawn call-flow sketch of circles joined by pencil arrows, one traced in orange, beside a roll of kraft tape
Illustration, not a real document

The brief

Branch staff phoned customers one at a time to tell them a parcel had arrived. An internal attempt to automate it had stalled, and the client wanted a working option.

Approach

I scoped a system that reacts to each parcel. A parcel is scanned at a branch, the platform hears about it, and a voice call goes out in the customer's language.

Showing a real local number on the customer's phone turned out to be a telecom job first. I ran a live tender across call platforms and local carriers. I set it up so no single vendor controls the whole system.

181 of 181 automated tests passed. I ran it at 20,000 calls at once: no errors, and 99 in 100 responses took 76 ms or less.

Close-up of a pencil call-flow sketch: a circle with sound-wave arcs linked to a box that branches out, one path traced in orange, with a phone and a parcel at the edge
Every call starts with a parcel scan.Illustration, not a real document

Outcome

The platform reached a contract-ready state in about 7 weeks. The client paused before signing, so it never carried production traffic and no saving was banked.

Deliverables

  • Native-language outbound calling platform
  • Reusable load-test suite
  • Cloud architecture with decision records
  • A rollout plan in phases, with a go or no-go check at each step

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