Vividus Medical LLP
Vividus Medical LLP
Vividus Medical LLP
How Vividus Medical LLP reduced firefighting using a single system of record

How Vividus Medical LLP reduced firefighting using a single system of record

How Vividus Medical LLP reduced firefighting using a single system of record

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

18%

Reduction in excess inventory across store and production

18%

Reduction in excess inventory across store and production

9→1 days

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

9→1 days

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

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Vividus Medical LLP at a glance

Vividus Medical LLP at a glance

Vividus Medical LLP is a medium packaging manufacturing unit based in Central Delhi. 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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Medium

Company Size

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Medium

Company Size

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Central Delhi, India

Location

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Central Delhi, 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

PO approvals got stuck with managers, leading to last-minute buying and frequent expedite.

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

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

Controlling rework through traceability and holds

Controlling rework through traceability and holds

Controlling rework through traceability and holds

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.

Before: Too many moving parts, no single view

Before: Too many moving parts, no single view

Before: Too many moving parts, no single view

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

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. 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, 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. 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.

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