PROTOTECH
PROTOTECH
PROTOTECH
How PROTOTECH reduced firefighting using a single system of record

How PROTOTECH reduced firefighting using a single system of record

How PROTOTECH reduced firefighting using a single system of record

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

22%

Reduction in daily coordination time for auto ancillary work

22%

Reduction in daily coordination time for auto ancillary work

30%

Reduction in excess inventory across store and production

30%

Reduction in excess inventory across store and production

8→3 days

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

8→3 days

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

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About PROTOTECH

About PROTOTECH

PROTOTECH is a small auto ancillary manufacturing unit based in Pune. 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.

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Auto Ancillary

Industry

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Auto Ancillary

Industry

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Small

Company Size

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Small

Company Size

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Pune, India

Location

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Pune, India

Location

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Batch-wise traceability for parts and rejections

Use Cases

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Batch-wise traceability for parts and rejections

Use Cases

Challenges

Month-end reporting became a rework exercise because data lived in multiple files and chats.

Rate differences and consumption variances created disputes with subcontractors.

No single schedule linked orders, material availability and machine loading.

Implementation: Centralised workflow with clear owners

Implementation: Centralised workflow with clear owners

Implementation: Centralised workflow with clear owners

Earlier, masters and transactions were split across Excel, accounting exports and WhatsApp updates. This broke down at month-end; teams rebuilt the same report multiple times and still debated the numbers. We implemented a single system of record connecting sales, purchase, production and dispatch so everyone worked off the same status. Masters were cleaned once, and daily reporting pulled from the same transactions instead of manual consolidation. For auto ancillary operations in Pune, this reduced dependence on a single person for updates. The practical outcome was smoother handovers between departments and more predictable daily execution.

Earlier, masters and transactions were split across Excel, accounting exports and WhatsApp updates. This broke down at month-end; teams rebuilt the same report multiple times and still debated the numbers. We implemented a single system of record connecting sales, purchase, production and dispatch so everyone worked off the same status. Masters were cleaned once, and daily reporting pulled from the same transactions instead of manual consolidation. For auto ancillary operations in Pune, this reduced dependence on a single person for updates. The practical outcome was smoother handovers between departments and more predictable daily execution.

Dispatch readiness built into the daily routine

Dispatch readiness built into the daily routine

Dispatch readiness built into the daily routine

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 structured stage-wise tracking and checklists so work moved forward only when prerequisites were met. Material sent out and received back was logged against job-work orders, making shortages visible immediately. For auto ancillary operations in Pune, this reduced dependence on a single person for updates. The practical outcome was smoother handovers between departments and more predictable daily execution.

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 structured stage-wise tracking and checklists so work moved forward only when prerequisites were met. Material sent out and received back was logged against job-work orders, making shortages visible immediately. For auto ancillary operations in Pune, this reduced dependence on a single person for updates. The practical outcome was smoother handovers between departments and more predictable daily execution.

Reducing month-end surprises with traceable transactions

Reducing month-end surprises with traceable transactions

Reducing month-end surprises with traceable transactions

Earlier, the daily plan was decided in fragments—by urgency, not by capacity and material signals. This broke down as soon as urgent orders came in; jobs were half-started and WIP piled up across stages. We implemented a centralised workflow where each order, material requirement and update had a clear owner and timestamp. Planning moved to a simple daily schedule linked to orders, capacity and material, reducing last-minute reshuffles. Over time, the team built confidence because the numbers matched what they saw on the floor. The practical outcome was fewer escalations, faster decisions, and dates that changed less often.

Earlier, the daily plan was decided in fragments—by urgency, not by capacity and material signals. This broke down as soon as urgent orders came in; jobs were half-started and WIP piled up across stages. We implemented a centralised workflow where each order, material requirement and update had a clear owner and timestamp. Planning moved to a simple daily schedule linked to orders, capacity and material, reducing last-minute reshuffles. Over time, the team built confidence because the numbers matched what they saw on the floor. The practical outcome was fewer escalations, faster decisions, and dates that changed less often.

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