Reality Chemicals
Reality Chemicals
Reality Chemicals
How Reality Chemicals reduced firefighting using a single system of record

How Reality Chemicals reduced firefighting using a single system of record

How Reality Chemicals reduced firefighting using a single system of record

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

38%

Reduction in daily coordination time for chemicals work

38%

Reduction in daily coordination time for chemicals work

29%

Reduction in excess inventory across store and production

29%

Reduction in excess inventory across store and production

4→1 days

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

4→1 days

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

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About Reality Chemicals

About Reality Chemicals

Reality Chemicals is a medium 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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Medium

Company Size

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Medium

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

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

Teams worked off screenshots and old sheets; daily numbers drifted from what the shop floor saw.

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

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 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. For chemicals operations in Vadodara, 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, 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. For chemicals operations in Vadodara, 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, masters and transactions were split across Excel, accounting exports and WhatsApp updates. This broke down at month-end; teams rebuilt the same report multiple times and still debated the numbers. We implemented a centralised workflow where each order, material requirement and update had a clear owner and timestamp. Masters were cleaned once, and daily reporting pulled from the same transactions instead of manual consolidation. The practical outcome was that teams stopped re-entering the same data and acted on exceptions early.

Earlier, masters and transactions were split across Excel, accounting exports and WhatsApp updates. This broke down at month-end; teams rebuilt the same report multiple times and still debated the numbers. We implemented a centralised workflow where each order, material requirement and update had a clear owner and timestamp. Masters were cleaned once, and daily reporting pulled from the same transactions instead of manual consolidation. The practical outcome was that teams stopped re-entering the same data and acted on exceptions early.

Dispatch readiness built into the daily routine

Dispatch readiness built into the daily routine

Dispatch readiness built into the daily routine

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 chemicals operations in Vadodara, this reduced dependence on a single person for updates. The practical outcome was smoother handovers between departments and more predictable daily execution.

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 chemicals operations in Vadodara, this reduced dependence on a single person for updates. The practical outcome was smoother handovers between departments and more predictable daily execution.

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