WallingCo Products India LLP
WallingCo Products India LLP
WallingCo Products India LLP
How WallingCo Products India LLP reduced firefighting using a single system of record

How WallingCo Products India LLP reduced firefighting using a single system of record

How WallingCo Products India LLP reduced firefighting using a single system of record

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

36%

Reduction in daily coordination time for auto ancillary work

36%

Reduction in daily coordination time for auto ancillary work

33%

Reduction in excess inventory across store and production

33%

Reduction in excess inventory across store and production

8→1 days

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

8→1 days

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

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About WallingCo Products India LLP

About WallingCo Products India LLP

WallingCo Products India LLP is a micro auto ancillary manufacturing unit based in Pune. 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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Auto Ancillary

Industry

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Auto Ancillary

Industry

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Micro

Company Size

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Micro

Company Size

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Pune, India

Location

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Pune, India

Location

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Consumable/tooling control with daily WIP view

Use Cases

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Consumable/tooling control with daily WIP view

Use Cases

Challenges

Month-end reporting became a rework exercise because data lived in multiple files and chats.

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.

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

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

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

Reducing month-end surprises with traceable transactions

Reducing month-end surprises with traceable transactions

Reducing month-end surprises with traceable transactions

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 structured stage-wise tracking and checklists so work moved forward only when prerequisites were met. 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 structured stage-wise tracking and checklists so work moved forward only when prerequisites were met. 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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