Samtone Industries - TranZact AI

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Samtone Industries

Samtone Industries improved delivery predictability with structured execution

Turning daily follow-ups into a repeatable workflow across departments.

56%

Reduction in daily coordination time for engineering work

56%

Reduction in daily coordination time for engineering work

14%

Reduction in excess inventory across store and production

14%

Reduction in excess inventory across store and production

3→1 days

Improvement in order-to-dispatch lead time with fewer last-minute follow-ups

3→1 days

Improvement in order-to-dispatch lead time with fewer last-minute follow-ups

Samtone Industries at a glance

Samtone Industries is a small engineering manufacturing unit based in Vadodara. Their day-to-day work involves coordinating orders, material availability, production execution and dispatch commitments. Earlier, updates were shared through a mix of Excel sheets, calls and WhatsApp, which made it hard to keep everyone aligned. By moving to a centralised workflow, the team standardised handovers, reduced rework in reporting, and improved execution predictability.

Engineering

Industry

Engineering

Industry

Small

Company Size

Small

Company Size

Vadodara, India

Location

Vadodara, India

Location

Centralised purchase & vendor performance tracking

Use Cases

Centralised purchase & vendor performance tracking

Use Cases

Challenges

WIP at job worker was invisible, so internal planning was always a guess.

No simple view of vendor-wise delays, so the same issues repeated every month.

Shortage was detected only when the supervisor walked the floor, not when planning was done.

Vendor coordination with structured PO follow-ups

Earlier, job-work material movement was tracked in registers and return status was unclear. This broke down on returns; shortages and rate differences led to repeated reconciliations. We implemented a centralised workflow where each order, material requirement and update had a clear owner and timestamp. Material sent out and received back was logged against job-work orders, making shortages visible immediately. The practical outcome was smoother handovers between departments and more predictable daily execution.

Before: Too many moving parts, no single view

Earlier, vendor follow-ups were call-driven and depended on whoever remembered to push. This broke down during peak load—approvals got delayed and committed dates slipped without a simple exception view. We implemented a single system of record connecting sales, purchase, production and dispatch so everyone worked off the same status. The purchase team used one follow-up queue, logged committed dates, and escalated exceptions early. It also made owner reviews easier because key exceptions were visible without chasing the team. The practical outcome was that teams stopped re-entering the same data and acted on exceptions early.

After: Predictable execution, fewer escalations

Earlier, store stock, WIP and finished goods were tracked in separate sheets and message threads. This broke down whenever priorities changed—material looked available, but the line stalled due to bin-level shortages. We implemented a single system of record connecting sales, purchase, production and dispatch so everyone worked off the same status. Supervisors started reviewing shortages at shift start and raised purchase/transfer requests before the line was blocked. It also made owner reviews easier because key exceptions were visible without chasing the team. The practical outcome was fewer escalations, faster decisions, and dates that changed less often.

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