Exim India
Exim India
Exim India
From scattered sheets to one workflow: Exim India's ops reset

From scattered sheets to one workflow: Exim India's ops reset

From scattered sheets to one workflow: Exim India's ops reset

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

28%

Reduction in excess inventory for packaging work

28%

Reduction in excess inventory for packaging work

41 mins→10 mins

Faster daily MIS and stock reporting across store and production

41 mins→10 mins

Faster daily MIS and stock reporting across store and production

36%

Reduction in daily coordination time with fewer last-minute follow-ups

36%

Reduction in daily coordination time with fewer last-minute follow-ups

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About Exim India

About Exim India

Exim India is a small packaging manufacturing unit based in Thane. 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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Packaging

Industry

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Packaging

Industry

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Small

Company Size

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Small

Company Size

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Thane, India

Location

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Thane, India

Location

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WIP tracking across printing–lamination–slitting–dispatch

Use Cases

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WIP tracking across printing–lamination–slitting–dispatch

Use Cases

Challenges

Payment follow-ups depended on WhatsApp threads; disputes re-opened invoices at month-end.

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

WIP quantity was unknown across stages, so dispatch dates moved every evening.

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 smoother handovers between departments and more predictable daily execution.

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 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 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 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 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 smoother handovers between departments and more predictable daily execution.

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 structured stage-wise tracking and checklists so work moved forward only when prerequisites were met. Supervisors started reviewing shortages at shift start and raised purchase/transfer requests before the line was blocked. For packaging operations in Thane, 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, 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 structured stage-wise tracking and checklists so work moved forward only when prerequisites were met. Supervisors started reviewing shortages at shift start and raised purchase/transfer requests before the line was blocked. For packaging operations in Thane, 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.

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