SWASTIK OIL PRODUCTS MANUFACTURING NAVSARI PRIVATE LIMITED
SWASTIK OIL PRODUCTS MANUFACTURING NAVSARI PRIVATE LIMITED
SWASTIK OIL PRODUCTS MANUFACTURING NAVSARI PRIVATE LIMITED
SWASTIK OIL PRODUCTS MANUFACTURING NAVSARI PRIVATE LIMITED tightened shop-floor control with a centralised workflow

SWASTIK OIL PRODUCTS MANUFACTURING NAVSARI PRIVATE LIMITED tightened shop-floor control with a centralised workflow

SWASTIK OIL PRODUCTS MANUFACTURING NAVSARI PRIVATE LIMITED tightened shop-floor control with a centralised workflow

A practical shift from WhatsApp/Excel coordination to trackable daily execution.

45%

Reduction in daily coordination time for auto ancillary work

45%

Reduction in daily coordination time for auto ancillary work

17%

Reduction in excess inventory across store and production

17%

Reduction in excess inventory across store and production

4→1 days

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

4→1 days

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

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About SWASTIK OIL PRODUCTS MANUFACTURING NAVSARI PRIVATE LIMITED

About SWASTIK OIL PRODUCTS MANUFACTURING NAVSARI PRIVATE LIMITED

SWASTIK OIL PRODUCTS MANUFACTURING NAVSARI PRIVATE LIMITED is a micro auto ancillary manufacturing unit based in Navsari. 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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Auto Ancillary

Industry

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Auto Ancillary

Industry

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Micro

Company Size

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Micro

Company Size

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Navsari, India

Location

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Navsari, India

Location

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PO-linked production planning + vendor scheduling

Use Cases

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PO-linked production planning + vendor scheduling

Use Cases

Challenges

Short/excess at dispatch led to urgent rework and multiple trips between store and floor.

Vendor committed dates were verbal; delays were discovered only after repeated calls.

Rejections were logged on paper; rework cost showed up only after dispatch was missed.

Dispatch readiness built into the daily routine

Dispatch readiness built into the daily routine

Dispatch readiness built into the daily routine

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 single system of record connecting sales, purchase, production and dispatch so everyone worked off the same status. Dispatch checklists were run a day ahead so invoicing, packing and transporter booking stayed aligned. 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 single system of record connecting sales, purchase, production and dispatch so everyone worked off the same status. Dispatch checklists were run a day ahead so invoicing, packing and transporter booking stayed aligned. The practical outcome was that teams stopped re-entering the same data and acted on exceptions early.

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 a single system of record connecting sales, purchase, production and dispatch so everyone worked off the same status. The purchase team used one follow-up queue, logged committed dates, and escalated exceptions early. For auto ancillary operations in Navsari, this reduced dependence on a single person for updates. The practical outcome was smoother handovers between departments and more predictable daily execution.

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 a single system of record connecting sales, purchase, production and dispatch so everyone worked off the same status. The purchase team used one follow-up queue, logged committed dates, and escalated exceptions early. For auto ancillary operations in Navsari, this reduced dependence on a single person for updates. The practical outcome was smoother handovers between departments and more predictable daily execution.

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, 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 structured stage-wise tracking and checklists so work moved forward only when prerequisites were met. QC marked holds against lots, and planners saw only cleared stock as available for production. It also made owner reviews easier because key exceptions were visible without chasing the team. The practical outcome was smoother handovers between departments and more predictable daily execution.

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 structured stage-wise tracking and checklists so work moved forward only when prerequisites were met. QC marked holds against lots, and planners saw only cleared stock as available for production. It also made owner reviews easier because key exceptions were visible without chasing the team. The practical outcome was smoother handovers between departments and more predictable daily execution.

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