Recare Electrical LLP
Recare Electrical LLP
Recare Electrical LLP
How Recare Electrical LLP reduced firefighting using a single system of record

How Recare Electrical LLP reduced firefighting using a single system of record

How Recare Electrical LLP reduced firefighting using a single system of record

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

49%

Reduction in daily coordination time for electrical work

49%

Reduction in daily coordination time for electrical work

27%

Reduction in excess inventory across store and production

27%

Reduction in excess inventory across store and production

6→2 days

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

6→2 days

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

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How Recare Electrical LLP operates

How Recare Electrical LLP operates

Recare Electrical LLP is a medium electrical manufacturing unit based in Surat. 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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Electrical

Industry

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Electrical

Industry

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Medium

Company Size

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Medium

Company Size

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Surat, India

Location

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Surat, India

Location

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Multi-warehouse inventory with serial/batch control

Use Cases

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Multi-warehouse inventory with serial/batch control

Use Cases

Challenges

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

No standard follow-up cadence, so hot leads cooled down without visibility.

Payment follow-ups depended on WhatsApp threads; disputes re-opened invoices at month-end.

Cleaning masters to make reports match reality

Cleaning masters to make reports match reality

Cleaning masters to make reports match reality

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. 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, 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. 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.

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, enquiries and quotations were handled in different places, so reminders were inconsistent. This broke down when key people were busy; hot leads cooled because follow-ups were not standardised. We implemented structured stage-wise tracking and checklists so work moved forward only when prerequisites were met. Sales worked a standard follow-up cadence with reminders and visibility of the latest quotation version. 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, enquiries and quotations were handled in different places, so reminders were inconsistent. This broke down when key people were busy; hot leads cooled because follow-ups were not standardised. We implemented structured stage-wise tracking and checklists so work moved forward only when prerequisites were met. Sales worked a standard follow-up cadence with reminders and visibility of the latest quotation version. 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.

Controlling rework through traceability and holds

Controlling rework through traceability and holds

Controlling rework through traceability and holds

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. It also made owner reviews easier because key exceptions were visible without chasing the team. The practical outcome was that teams stopped re-entering the same data and acted on exceptions early.

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. It also made owner reviews easier because key exceptions were visible without chasing the team. The practical outcome was that teams stopped re-entering the same data and acted on exceptions early.

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