Mozo Innovations
Mozo Innovations
Mozo Innovations
From scattered sheets to one workflow: Mozo Innovations's ops reset

From scattered sheets to one workflow: Mozo Innovations's ops reset

From scattered sheets to one workflow: Mozo Innovations's ops reset

A practical shift from WhatsApp/Excel coordination to trackable daily execution.

34%

Reduction in daily coordination time for auto ancillary work

34%

Reduction in daily coordination time for auto ancillary work

18%

Reduction in excess inventory across store and production

18%

Reduction in excess inventory across store and production

9→3 days

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

9→3 days

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

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Mozo Innovations at a glance

Mozo Innovations at a glance

Mozo Innovations is a micro auto ancillary manufacturing unit based in Malappuram. 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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Micro

Company Size

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Micro

Company Size

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Malappuram, India

Location

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Malappuram, 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

Priority orders jumped the queue; other jobs got half-started and left in between.

Job-work material sent out was tracked in registers; return quantity and shortages were unclear.

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

Implementation: Centralised workflow with clear owners

Implementation: Centralised workflow with clear owners

Implementation: Centralised workflow with clear owners

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 single system of record connecting sales, purchase, production and dispatch so everyone worked off the same status. 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 single system of record connecting sales, purchase, production and dispatch so everyone worked off the same status. 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.

Reducing month-end surprises with traceable transactions

Reducing month-end surprises with traceable transactions

Reducing month-end surprises with traceable transactions

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 single system of record connecting sales, purchase, production and dispatch so everyone worked off the same status. Material sent out and received back was logged against job-work orders, making shortages visible immediately. For auto ancillary operations in Malappuram, this reduced dependence on a single person for updates. The practical outcome was that teams stopped re-entering the same data and acted on exceptions early.

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 single system of record connecting sales, purchase, production and dispatch so everyone worked off the same status. Material sent out and received back was logged against job-work orders, making shortages visible immediately. For auto ancillary operations in Malappuram, this reduced dependence on a single person for updates. The practical outcome was that teams stopped re-entering the same data and acted on exceptions early.

After: Predictable execution, fewer escalations

After: Predictable execution, fewer escalations

After: Predictable execution, fewer escalations

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 centralised workflow where each order, material requirement and update had a clear owner and timestamp. Masters were cleaned once, and daily reporting pulled from the same transactions instead of manual consolidation. 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, 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 centralised workflow where each order, material requirement and update had a clear owner and timestamp. Masters were cleaned once, and daily reporting pulled from the same transactions instead of manual consolidation. 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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