HONESTINNOVATIONS FORYOU PVT. LTD.
HONESTINNOVATIONS FORYOU PVT. LTD.
HONESTINNOVATIONS FORYOU PVT. LTD.
How HONESTINNOVATIONS FORYOU PVT. LTD. reduced firefighting using a single system of record

How HONESTINNOVATIONS FORYOU PVT. LTD. reduced firefighting using a single system of record

How HONESTINNOVATIONS FORYOU PVT. LTD. reduced firefighting using a single system of record

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

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

5→1 days

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

5→1 days

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

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HONESTINNOVATIONS FORYOU PVT. LTD. at a glance

HONESTINNOVATIONS FORYOU PVT. LTD. at a glance

HONESTINNOVATIONS FORYOU PVT. LTD. is a medium auto ancillary manufacturing unit based in Gurgaon. 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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Medium

Company Size

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Medium

Company Size

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Gurgaon, India

Location

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Gurgaon, India

Location

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Batch-wise traceability for parts and rejections

Use Cases

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Batch-wise traceability for parts and rejections

Use Cases

Challenges

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

WIP quantity was unknown across stages, so dispatch dates moved every evening.

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

Implementation: Centralised workflow with clear owners

Implementation: Centralised workflow with clear owners

Implementation: Centralised workflow with clear owners

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 centralised workflow where each order, material requirement and update had a clear owner and timestamp. QC marked holds against lots, and planners saw only cleared stock as available for production. For auto ancillary operations in Gurgaon, this reduced dependence on a single person for updates. The practical outcome was fewer escalations, faster decisions, and dates that changed less often.

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 centralised workflow where each order, material requirement and update had a clear owner and timestamp. QC marked holds against lots, and planners saw only cleared stock as available for production. For auto ancillary operations in Gurgaon, this reduced dependence on a single person for updates. The practical outcome was fewer escalations, faster decisions, and dates that changed less often.

Reducing month-end surprises with traceable transactions

Reducing month-end surprises with traceable transactions

Reducing month-end surprises with traceable transactions

Earlier, store stock, WIP and finished goods were tracked in separate sheets and message threads. This broke down whenever priorities changed—material looked available, but the line stalled due to bin-level shortages. We implemented a single system of record connecting sales, purchase, production and dispatch so everyone worked off the same status. Supervisors started reviewing shortages at shift start and raised purchase/transfer requests before the line was blocked. 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, store stock, WIP and finished goods were tracked in separate sheets and message threads. This broke down whenever priorities changed—material looked available, but the line stalled due to bin-level shortages. We implemented a single system of record connecting sales, purchase, production and dispatch so everyone worked off the same status. Supervisors started reviewing shortages at shift start and raised purchase/transfer requests before the line was blocked. 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.

Vendor coordination with structured PO follow-ups

Vendor coordination with structured PO follow-ups

Vendor coordination with structured PO follow-ups

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 single system of record connecting sales, purchase, production and dispatch so everyone worked off the same status. Planning moved to a simple daily schedule linked to orders, capacity and material, reducing last-minute reshuffles. The practical outcome was that teams stopped re-entering the same data and acted on exceptions early.

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 single system of record connecting sales, purchase, production and dispatch so everyone worked off the same status. Planning moved to a simple daily schedule linked to orders, capacity and material, reducing last-minute reshuffles. The practical outcome was that teams stopped re-entering the same data and acted on exceptions early.

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