LaserFab Engineering
LaserFab Engineering
LaserFab Engineering
How LaserFab Engineering reduced firefighting using a single system of record

How LaserFab Engineering reduced firefighting using a single system of record

How LaserFab Engineering reduced firefighting using a single system of record

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

33%

Reduction in daily coordination time for fabrication work

33%

Reduction in daily coordination time for fabrication work

12%

Reduction in excess inventory across store and production

12%

Reduction in excess inventory across store and production

7→3 days

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

7→3 days

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

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How LaserFab Engineering operates

How LaserFab Engineering operates

LaserFab Engineering is a small fabrication manufacturing unit based in Nashik. 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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Fabrication

Industry

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Fabrication

Industry

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Small

Company Size

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Small

Company Size

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Nashik, India

Location

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Nashik, India

Location

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Raw material cutting plan + WIP visibility

Use Cases

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Raw material cutting plan + WIP visibility

Use Cases

Challenges

No single schedule linked orders, material availability and machine loading.

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

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

Dispatch readiness built into the daily routine

Dispatch readiness built into the daily routine

Dispatch readiness built into the daily routine

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. The practical outcome was that teams stopped re-entering the same data and acted on exceptions early.

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. 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, 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 single system of record connecting sales, purchase, production and dispatch so everyone worked off the same status. 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 a single system of record connecting sales, purchase, production and dispatch so everyone worked off the same status. 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.

Reducing month-end surprises with traceable transactions

Reducing month-end surprises with traceable transactions

Reducing month-end surprises with traceable transactions

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

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