Jayam Industries
Jayam Industries
Jayam Industries
Jayam Industries improved delivery predictability with structured execution

Jayam Industries improved delivery predictability with structured execution

Jayam Industries improved delivery predictability with structured execution

Standardising approvals and handovers so teams work off the same numbers.

54%

Reduction in daily coordination time for engineering work

54%

Reduction in daily coordination time for engineering work

16%

Reduction in excess inventory across store and production

16%

Reduction in excess inventory across store and production

6→3 days

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

6→3 days

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

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About Jayam Industries

About Jayam Industries

Jayam Industries is a micro engineering 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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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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Valsad, India

Location

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Valsad, India

Location

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Quotation-to-order conversion + dispatch coordination

Use Cases

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Quotation-to-order conversion + dispatch coordination

Use Cases

Challenges

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

Payment follow-ups depended on WhatsApp threads; disputes re-opened invoices at month-end.

QC holds were not reflected in available stock, leading to accidental usage.

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, 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 centralised workflow where each order, material requirement and update had a clear owner and timestamp. The purchase team used one follow-up queue, logged committed dates, and escalated exceptions early. 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 centralised workflow where each order, material requirement and update had a clear owner and timestamp. The purchase team used one follow-up queue, logged committed dates, and escalated exceptions early. The practical outcome was smoother handovers between departments and more predictable daily execution.

Implementation: Centralised workflow with clear owners

Implementation: Centralised workflow with clear owners

Implementation: Centralised workflow with clear owners

Earlier, collections follow-ups were scattered and disputes reopened older invoices. This broke down on part-payments; the receivable view changed daily and escalations increased. We implemented structured stage-wise tracking and checklists so work moved forward only when prerequisites were met. Collections follow-ups moved to a single list with dispute tagging so teams stopped chasing the wrong invoices. The practical outcome was that teams stopped re-entering the same data and acted on exceptions early.

Earlier, collections follow-ups were scattered and disputes reopened older invoices. This broke down on part-payments; the receivable view changed daily and escalations increased. We implemented structured stage-wise tracking and checklists so work moved forward only when prerequisites were met. Collections follow-ups moved to a single list with dispute tagging so teams stopped chasing the wrong invoices. The practical outcome was that teams stopped re-entering the same data and acted on exceptions early.

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 a single system of record connecting sales, purchase, production and dispatch so everyone worked off the same status. QC marked holds against lots, and planners saw only cleared stock as available for production. The practical outcome was that teams stopped re-entering the same data and acted on exceptions early.

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 a single system of record connecting sales, purchase, production and dispatch so everyone worked off the same status. QC marked holds against lots, and planners saw only cleared stock as available for production. The practical outcome was that teams stopped re-entering the same data and acted on exceptions early.

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