P. R. Ceiling Products
P. R. Ceiling Products
P. R. Ceiling Products
P. R. Ceiling Products improved delivery predictability with structured execution

P. R. Ceiling Products improved delivery predictability with structured execution

P. R. Ceiling Products improved delivery predictability with structured execution

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

38%

Reduction in daily coordination time for packaging work

38%

Reduction in daily coordination time for packaging work

31%

Reduction in excess inventory across store and production

31%

Reduction in excess inventory across store and production

7→3 days

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

7→3 days

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

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How P. R. Ceiling Products operates

How P. R. Ceiling Products operates

P. R. Ceiling Products is a medium packaging manufacturing unit based in Agra. 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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Packaging

Industry

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Packaging

Industry

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Medium

Company Size

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Medium

Company Size

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Agra, India

Location

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Agra, India

Location

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Order-to-dispatch control for job work stages

Use Cases

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Order-to-dispatch control for job work stages

Use Cases

Challenges

Same item had different names in Excel and accounting exports, so reports never matched store reality.

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

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

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. 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, 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. 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.

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, 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 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. The practical outcome was smoother handovers between departments and more predictable daily execution.

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, 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.

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