Vertex Lightco Industries
Vertex Lightco Industries
Vertex Lightco Industries
From scattered sheets to one workflow: Vertex Lightco Industries's ops reset

From scattered sheets to one workflow: Vertex Lightco Industries's ops reset

From scattered sheets to one workflow: Vertex Lightco Industries's ops reset

Turning daily follow-ups into a repeatable workflow across departments.

25%

Reduction in daily coordination time for engineering work

25%

Reduction in daily coordination time for engineering work

19%

Reduction in excess inventory across store and production

19%

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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Vertex Lightco Industries at a glance

Vertex Lightco Industries at a glance

Vertex Lightco Industries is a micro engineering manufacturing unit based in Faridabad. 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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Engineering

Industry

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Engineering

Industry

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Micro

Company Size

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Micro

Company Size

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Faridabad, India

Location

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Faridabad, India

Location

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Multi-stage production planning + WIP control

Use Cases

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Multi-stage production planning + WIP control

Use Cases

Challenges

Shortage was detected only when the supervisor walked the floor, not when planning was done.

Production plan changed multiple times a day due to capacity conflicts and material gaps.

Same item had different names in Excel and accounting exports, so reports never matched store reality.

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 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. 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, 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. 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.

Cleaning masters to make reports match reality

Cleaning masters to make reports match reality

Cleaning masters to make reports match reality

Earlier, the daily plan was decided in fragments—by urgency, not by capacity and material signals. This broke down as soon as urgent orders came in; jobs were half-started and WIP piled up across stages. We implemented a centralised workflow where each order, material requirement and update had a clear owner and timestamp. Planning moved to a simple daily schedule linked to orders, capacity and material, reducing last-minute reshuffles. 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, the daily plan was decided in fragments—by urgency, not by capacity and material signals. This broke down as soon as urgent orders came in; jobs were half-started and WIP piled up across stages. We implemented a centralised workflow where each order, material requirement and update had a clear owner and timestamp. Planning moved to a simple daily schedule linked to orders, capacity and material, reducing last-minute reshuffles. 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.

Vendor coordination with structured PO follow-ups

Vendor coordination with structured PO follow-ups

Vendor coordination with structured PO follow-ups

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 single system of record connecting sales, purchase, production and dispatch so everyone worked off the same status. Masters were cleaned once, and daily reporting pulled from the same transactions instead of manual consolidation. 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 single system of record connecting sales, purchase, production and dispatch so everyone worked off the same status. Masters were cleaned once, and daily reporting pulled from the same transactions instead of manual consolidation. The practical outcome was smoother handovers between departments and more predictable daily execution.

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