Isprava Vesta Pvt Ltd
Isprava Vesta Pvt Ltd
Isprava Vesta Pvt Ltd
Isprava Vesta Pvt Ltd improved delivery predictability with structured execution

Isprava Vesta Pvt Ltd improved delivery predictability with structured execution

Isprava Vesta Pvt Ltd improved delivery predictability with structured execution

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

36%

Reduction in daily coordination time for plastics work

36%

Reduction in daily coordination time for plastics work

29%

Reduction in excess inventory across store and production

29%

Reduction in excess inventory across store and production

8→1 days

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

8→1 days

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

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About Isprava Vesta Pvt Ltd

About Isprava Vesta Pvt Ltd

Isprava Vesta Pvt Ltd is a small plastics manufacturing unit based in North Goa. 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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Plastics

Industry

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Plastics

Industry

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Small

Company Size

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Small

Company Size

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North Goa, India

Location

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North Goa, India

Location

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Customer-wise variants + dispatch readiness

Use Cases

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Customer-wise variants + dispatch readiness

Use Cases

Challenges

Batch/lot traceability gaps made it hard to isolate which raw material caused a quality issue.

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

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

Dispatch readiness built into the daily routine

Dispatch readiness built into the daily routine

Dispatch readiness built into the daily routine

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. 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. 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, 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 centralised workflow where each order, material requirement and update had a clear owner and timestamp. Supervisors started reviewing shortages at shift start and raised purchase/transfer requests before the line was blocked. For plastics operations in North Goa, 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 a centralised workflow where each order, material requirement and update had a clear owner and timestamp. Supervisors started reviewing shortages at shift start and raised purchase/transfer requests before the line was blocked. For plastics operations in North Goa, 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.

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 structured stage-wise tracking and checklists so work moved forward only when prerequisites were met. Masters were cleaned once, and daily reporting pulled from the same transactions instead of manual consolidation. For plastics operations in North Goa, this reduced dependence on a single person for updates. 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 structured stage-wise tracking and checklists so work moved forward only when prerequisites were met. Masters were cleaned once, and daily reporting pulled from the same transactions instead of manual consolidation. For plastics operations in North Goa, this reduced dependence on a single person for updates. The practical outcome was fewer escalations, faster decisions, and dates that changed less often.

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