Mechtron Conveyors And Filteration Systems
Mechtron Conveyors And Filteration Systems
Mechtron Conveyors And Filteration Systems
From scattered sheets to one workflow: Mechtron Conveyors And Filteration Systems's ops reset

From scattered sheets to one workflow: Mechtron Conveyors And Filteration Systems's ops reset

From scattered sheets to one workflow: Mechtron Conveyors And Filteration Systems's ops reset

Standardising approvals and handovers so teams work off the same numbers.

27%

Reduction in daily coordination time for auto ancillary work

27%

Reduction in daily coordination time for auto ancillary work

20%

Reduction in excess inventory across store and production

20%

Reduction in excess inventory across store and production

6→3 days

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

6→3 days

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

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Inside Mechtron Conveyors And Filteration Systems

Inside Mechtron Conveyors And Filteration Systems

Mechtron Conveyors And Filteration Systems 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

Vendor committed dates were verbal; delays were discovered only after repeated calls.

Store stock looked fine on paper but production bins were empty when job cards started.

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

Cleaning masters to make reports match reality

Cleaning masters to make reports match reality

Cleaning masters to make reports match reality

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. For auto ancillary operations in Pune, 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, 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. For auto ancillary operations in Pune, 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.

Stabilising planning with live WIP and material signals

Stabilising planning with live WIP and material signals

Stabilising planning with live WIP and material signals

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. The practical outcome was fewer escalations, faster decisions, and dates that changed less often.

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. The practical outcome was fewer escalations, faster decisions, and dates that changed less often.

Implementation: Centralised workflow with clear owners

Implementation: Centralised workflow with clear owners

Implementation: Centralised workflow with clear owners

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 structured stage-wise tracking and checklists so work moved forward only when prerequisites were met. Collections follow-ups moved to a single list with dispute tagging so teams stopped chasing the wrong invoices. 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.

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 structured stage-wise tracking and checklists so work moved forward only when prerequisites were met. Collections follow-ups moved to a single list with dispute tagging so teams stopped chasing the wrong invoices. 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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