TRISUN INTERIO PVT LTD
TRISUN INTERIO PVT LTD
TRISUN INTERIO PVT LTD
TRISUN INTERIO PVT LTD tightened shop-floor control with a centralised workflow

TRISUN INTERIO PVT LTD tightened shop-floor control with a centralised workflow

TRISUN INTERIO PVT LTD tightened shop-floor control with a centralised workflow

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

38%

Reduction in daily coordination time for engineering work

38%

Reduction in daily coordination time for engineering work

12%

Reduction in excess inventory across store and production

12%

Reduction in excess inventory across store and production

4→2 days

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

4→2 days

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

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TRISUN INTERIO PVT LTD at a glance

TRISUN INTERIO PVT LTD at a glance

TRISUN INTERIO PVT LTD is a small engineering manufacturing unit based in Ernakulam. 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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Small

Company Size

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Small

Company Size

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Ernakulam, India

Location

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Ernakulam, India

Location

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Multi-stage production planning + WIP control

Use Cases

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Multi-stage production planning + WIP control

Use Cases

Challenges

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

Priority orders jumped the queue; other jobs got half-started and left in between.

Customer statements took hours to reconcile due to scattered notes and missing debit/credit references.

Vendor coordination with structured PO follow-ups

Vendor coordination with structured PO follow-ups

Vendor coordination with structured PO follow-ups

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 structured stage-wise tracking and checklists so work moved forward only when prerequisites were met. The purchase team used one follow-up queue, logged committed dates, and escalated exceptions early. 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, 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 structured stage-wise tracking and checklists so work moved forward only when prerequisites were met. The purchase team used one follow-up queue, logged committed dates, and escalated exceptions early. 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.

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 Ernakulam, 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 Ernakulam, 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.

Controlling rework through traceability and holds

Controlling rework through traceability and holds

Controlling rework through traceability and holds

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. 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, 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. 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.

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