Compair Accessories
Compair Accessories
Compair Accessories
From scattered sheets to one workflow: Compair Accessories's ops reset

From scattered sheets to one workflow: Compair Accessories's ops reset

From scattered sheets to one workflow: Compair Accessories's ops reset

Bringing purchase, production and dispatch on one timeline—without adding complexity.

31%

Reduction in daily coordination time for engineering work

31%

Reduction in daily coordination time for engineering work

+18 pts

Increase in on-time dispatch performance across store and production

+18 pts

Increase in on-time dispatch performance across store and production

₹28L/yr

Avoided expedite, rework and unplanned purchase costs with fewer last-minute follow-ups

₹28L/yr

Avoided expedite, rework and unplanned purchase costs with fewer last-minute follow-ups

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Inside Compair Accessories

Inside Compair Accessories

Compair Accessories is a micro engineering 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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Engineering

Industry

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Engineering

Industry

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Micro

Company Size

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Micro

Company Size

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Pune, India

Location

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Pune, India

Location

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Multi-stage production planning + WIP control

Use Cases

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Multi-stage production planning + WIP control

Use Cases

Challenges

Customer statements took hours to reconcile due to scattered notes and missing debit/credit references.

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

Teams worked off screenshots and old sheets; daily numbers drifted from what the shop floor saw.

Vendor coordination with structured PO follow-ups

Vendor coordination with structured PO follow-ups

Vendor coordination with structured PO follow-ups

Earlier, collections follow-ups were scattered and disputes reopened older invoices. This broke down on part-payments; the receivable view changed daily and escalations increased. We implemented a single system of record connecting sales, purchase, production and dispatch so everyone worked off the same status. Collections follow-ups moved to a single list with dispute tagging so teams stopped chasing the wrong invoices. 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, collections follow-ups were scattered and disputes reopened older invoices. This broke down on part-payments; the receivable view changed daily and escalations increased. We implemented a single system of record connecting sales, purchase, production and dispatch so everyone worked off the same status. Collections follow-ups moved to a single list with dispute tagging so teams stopped chasing the wrong invoices. 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.

Controlling rework through traceability and holds

Controlling rework through traceability and holds

Controlling rework through traceability and holds

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.

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.

Cleaning masters to make reports match reality

Cleaning masters to make reports match reality

Cleaning masters to make reports match reality

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. It also made owner reviews easier because key exceptions were visible without chasing the team. 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. It also made owner reviews easier because key exceptions were visible without chasing the team. The practical outcome was smoother handovers between departments and more predictable daily execution.

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