EAST COAST ENTERPRISERS LTD
EAST COAST ENTERPRISERS LTD
EAST COAST ENTERPRISERS LTD
From scattered sheets to one workflow: EAST COAST ENTERPRISERS LTD's ops reset

From scattered sheets to one workflow: EAST COAST ENTERPRISERS LTD's ops reset

From scattered sheets to one workflow: EAST COAST ENTERPRISERS LTD's ops reset

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

19%

Reduction in scrap/rework for engineering work

19%

Reduction in scrap/rework for engineering work

₹12L/yr

Avoided expedite, rework and unplanned purchase costs across store and production

₹12L/yr

Avoided expedite, rework and unplanned purchase costs across store and production

+13 pts

Increase in on-time dispatch performance with fewer last-minute follow-ups

+13 pts

Increase in on-time dispatch performance with fewer last-minute follow-ups

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About EAST COAST ENTERPRISERS LTD

About EAST COAST ENTERPRISERS LTD

EAST COAST ENTERPRISERS LTD is a medium engineering manufacturing unit based in Kolkata. 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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Medium

Company Size

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Medium

Company Size

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Kolkata, India

Location

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Kolkata, India

Location

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Centralised purchase & vendor performance tracking

Use Cases

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Centralised purchase & vendor performance tracking

Use Cases

Challenges

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

Rate differences and consumption variances created disputes with subcontractors.

Receivable status changed daily because part-payments were not tagged to specific invoices.

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. For engineering operations in Kolkata, 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, 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. For engineering operations in Kolkata, 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.

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, job-work material movement was tracked in registers and return status was unclear. This broke down on returns; shortages and rate differences led to repeated reconciliations. We implemented a single system of record connecting sales, purchase, production and dispatch so everyone worked off the same status. Material sent out and received back was logged against job-work orders, making shortages visible immediately. For engineering operations in Kolkata, 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, job-work material movement was tracked in registers and return status was unclear. This broke down on returns; shortages and rate differences led to repeated reconciliations. We implemented a single system of record connecting sales, purchase, production and dispatch so everyone worked off the same status. Material sent out and received back was logged against job-work orders, making shortages visible immediately. For engineering operations in Kolkata, 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.

Reducing month-end surprises with traceable transactions

Reducing month-end surprises with traceable transactions

Reducing month-end surprises with traceable transactions

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 a centralised workflow where each order, material requirement and update had a clear owner and timestamp. Collections follow-ups moved to a single list with dispute tagging so teams stopped chasing the wrong invoices. 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, 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 a centralised workflow where each order, material requirement and update had a clear owner and timestamp. Collections follow-ups moved to a single list with dispute tagging so teams stopped chasing the wrong invoices. 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.

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