Sublitex Ameco India Private Limited
Sublitex Ameco India Private Limited
Sublitex Ameco India Private Limited
From scattered sheets to one workflow: Sublitex Ameco India Private Limited's ops reset

From scattered sheets to one workflow: Sublitex Ameco India Private Limited's ops reset

From scattered sheets to one workflow: Sublitex Ameco India Private Limited's ops reset

Turning daily follow-ups into a repeatable workflow across departments.

43%

Reduction in daily coordination time for chemicals work

43%

Reduction in daily coordination time for chemicals work

24%

Reduction in excess inventory across store and production

24%

Reduction in excess inventory across store and production

6→1 days

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

6→1 days

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

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Sublitex Ameco India Private Limited at a glance

Sublitex Ameco India Private Limited at a glance

Sublitex Ameco India Private Limited is a micro chemicals manufacturing unit based in Vadodara. 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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Chemicals

Industry

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Chemicals

Industry

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Micro

Company Size

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Micro

Company Size

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Vadodara, India

Location

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Vadodara, India

Location

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Recipe/BOM control with expiry-aware inventory

Use Cases

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Recipe/BOM control with expiry-aware inventory

Use Cases

Challenges

WIP quantity was unknown across stages, so dispatch dates moved every evening.

No simple view of vendor-wise delays, so the same issues repeated every month.

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

Vendor coordination with structured PO follow-ups

Vendor coordination with structured PO follow-ups

Vendor coordination with structured PO follow-ups

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 structured stage-wise tracking and checklists so work moved forward only when prerequisites were met. Supervisors started reviewing shortages at shift start and raised purchase/transfer requests before the line was blocked. 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, 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 structured stage-wise tracking and checklists so work moved forward only when prerequisites were met. Supervisors started reviewing shortages at shift start and raised purchase/transfer requests before the line was blocked. 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.

Dispatch readiness built into the daily routine

Dispatch readiness built into the daily routine

Dispatch readiness built into the daily routine

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. Over time, the team built confidence because the numbers matched what they saw on the floor. 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 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. Over time, the team built confidence because the numbers matched what they saw on the floor. The practical outcome was fewer escalations, faster decisions, and dates that changed less often.

Controlling rework through traceability and holds

Controlling rework through traceability and holds

Controlling rework through traceability and holds

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. The practical outcome was fewer escalations, faster decisions, and dates that changed less often.

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. The practical outcome was fewer escalations, faster decisions, and dates that changed less often.

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