Shimmer Chemicals Pvt. Ltd
Shimmer Chemicals Pvt. Ltd
Shimmer Chemicals Pvt. Ltd
From scattered sheets to one workflow: Shimmer Chemicals Pvt. Ltd's ops reset

From scattered sheets to one workflow: Shimmer Chemicals Pvt. Ltd's ops reset

From scattered sheets to one workflow: Shimmer Chemicals Pvt. Ltd's ops reset

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

52%

Reduction in daily coordination time for chemicals work

52%

Reduction in daily coordination time for chemicals work

34%

Reduction in excess inventory across store and production

34%

Reduction in excess inventory across store and production

5→2 days

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

5→2 days

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

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Inside Shimmer Chemicals Pvt. Ltd

Inside Shimmer Chemicals Pvt. Ltd

Shimmer Chemicals Pvt. Ltd is a small 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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Small

Company Size

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Small

Company Size

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Vadodara, India

Location

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Vadodara, India

Location

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Batch production + lot traceability + QC holds

Use Cases

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Batch production + lot traceability + QC holds

Use Cases

Challenges

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

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

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

After: Predictable execution, fewer escalations

After: Predictable execution, fewer escalations

After: Predictable execution, fewer escalations

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

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, 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 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. 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.

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. Over time, the team built confidence because the numbers matched what they saw on the floor. 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. Over time, the team built confidence because the numbers matched what they saw on the floor. The practical outcome was that teams stopped re-entering the same data and acted on exceptions early.

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