Foodpack Paper Products Pvt. Ltd.
Foodpack Paper Products Pvt. Ltd.
Foodpack Paper Products Pvt. Ltd.
Foodpack Paper Products Pvt. Ltd. improved delivery predictability with structured execution

Foodpack Paper Products Pvt. Ltd. improved delivery predictability with structured execution

Foodpack Paper Products Pvt. Ltd. improved delivery predictability with structured execution

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

51%

Reduction in daily coordination time for packaging work

51%

Reduction in daily coordination time for packaging work

31%

Reduction in excess inventory across store and production

31%

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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About Foodpack Paper Products Pvt. Ltd.

About Foodpack Paper Products Pvt. Ltd.

Foodpack Paper Products Pvt. Ltd. is a small packaging 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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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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Pune, India

Location

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Pune, India

Location

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Order-to-dispatch control for job work stages

Use Cases

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Order-to-dispatch control for job work stages

Use Cases

Challenges

Short/excess at dispatch led to urgent rework and multiple trips between store and floor.

No simple view of vendor-wise delays, so the same issues repeated every month.

Rejections were logged on paper; rework cost showed up only after dispatch was missed.

Cleaning masters to make reports match reality

Cleaning masters to make reports match reality

Cleaning masters to make reports match reality

Earlier, dispatch readiness depended on people coordinating invoice, packing and transporter on calls. This broke down when transporter slots moved; finished goods were ready but paperwork and packing lagged behind. We implemented structured stage-wise tracking and checklists so work moved forward only when prerequisites were met. Dispatch checklists were run a day ahead so invoicing, packing and transporter booking stayed aligned. For packaging 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, dispatch readiness depended on people coordinating invoice, packing and transporter on calls. This broke down when transporter slots moved; finished goods were ready but paperwork and packing lagged behind. We implemented structured stage-wise tracking and checklists so work moved forward only when prerequisites were met. Dispatch checklists were run a day ahead so invoicing, packing and transporter booking stayed aligned. For packaging 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.

After: Predictable execution, fewer escalations

After: Predictable execution, fewer escalations

After: Predictable execution, fewer escalations

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 structured stage-wise tracking and checklists so work moved forward only when prerequisites were met. The purchase team used one follow-up queue, logged committed dates, and escalated exceptions early. 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 structured stage-wise tracking and checklists so work moved forward only when prerequisites were met. The purchase team used one follow-up queue, logged committed dates, and escalated exceptions early. The practical outcome was that teams stopped re-entering the same data and acted on exceptions early.

Reducing month-end surprises with traceable transactions

Reducing month-end surprises with traceable transactions

Reducing month-end surprises with traceable transactions

Earlier, QC holds and rework notes were kept on paper and were not visible to planning. This broke down during rejections; without traceability, isolating root cause took days and blocked dispatch. We implemented a centralised workflow where each order, material requirement and update had a clear owner and timestamp. QC marked holds against lots, and planners saw only cleared stock as available for production. It also made owner reviews easier because key exceptions were visible without chasing the team. The practical outcome was that teams stopped re-entering the same data and acted on exceptions early.

Earlier, QC holds and rework notes were kept on paper and were not visible to planning. This broke down during rejections; without traceability, isolating root cause took days and blocked dispatch. We implemented a centralised workflow where each order, material requirement and update had a clear owner and timestamp. QC marked holds against lots, and planners saw only cleared stock as available for production. It also made owner reviews easier because key exceptions were visible without chasing the team. The practical outcome was that teams stopped re-entering the same data and acted on exceptions early.

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