S. H. ENGITECH PRIVATE LIMITED
S. H. ENGITECH PRIVATE LIMITED
S. H. ENGITECH PRIVATE LIMITED
From scattered sheets to one workflow: S. H. ENGITECH PRIVATE LIMITED's ops reset

From scattered sheets to one workflow: S. H. ENGITECH PRIVATE LIMITED's ops reset

From scattered sheets to one workflow: S. H. ENGITECH PRIVATE LIMITED's ops reset

Bringing purchase, production and dispatch on one timeline—without adding complexity.

50%

Reduction in daily coordination time for packaging work

50%

Reduction in daily coordination time for packaging work

20%

Reduction in excess inventory across store and production

20%

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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S. H. ENGITECH PRIVATE LIMITED at a glance

S. H. ENGITECH PRIVATE LIMITED at a glance

S. H. ENGITECH PRIVATE LIMITED is a small packaging manufacturing unit based in Valsad. 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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Valsad, India

Location

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Valsad, India

Location

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Material planning for films, inks & adhesives

Use Cases

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Material planning for films, inks & adhesives

Use Cases

Challenges

Transporter availability was confirmed late, so finished goods piled up near the gate.

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.

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, 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 a centralised workflow where each order, material requirement and update had a clear owner and timestamp. Dispatch checklists were run a day ahead so invoicing, packing and transporter booking stayed aligned. For packaging operations in Valsad, 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, 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 a centralised workflow where each order, material requirement and update had a clear owner and timestamp. Dispatch checklists were run a day ahead so invoicing, packing and transporter booking stayed aligned. For packaging operations in Valsad, 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.

After: Predictable execution, fewer escalations

After: Predictable execution, fewer escalations

After: Predictable execution, fewer escalations

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. For packaging operations in Valsad, 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 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. For packaging operations in Valsad, 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.

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. Over time, the team built confidence because the numbers matched what they saw on the floor. 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. Over time, the team built confidence because the numbers matched what they saw on the floor. The practical outcome was that teams stopped re-entering the same data and acted on exceptions early.

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