VARDHMAN INSTRUMENTS AND CHEMICAL GOODS PRIVATE LIMITED
VARDHMAN INSTRUMENTS AND CHEMICAL GOODS PRIVATE LIMITED
VARDHMAN INSTRUMENTS AND CHEMICAL GOODS PRIVATE LIMITED
How VARDHMAN INSTRUMENTS AND CHEMICAL GOODS PRIVATE LIMITED reduced firefighting using a single system of record

How VARDHMAN INSTRUMENTS AND CHEMICAL GOODS PRIVATE LIMITED reduced firefighting using a single system of record

How VARDHMAN INSTRUMENTS AND CHEMICAL GOODS PRIVATE LIMITED reduced firefighting using a single system of record

Standardising approvals and handovers so teams work off the same numbers.

30%

Reduction in daily coordination time for chemicals work

30%

Reduction in daily coordination time for chemicals work

31%

Reduction in excess inventory across store and production

31%

Reduction in excess inventory across store and production

7→1 days

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

7→1 days

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

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VARDHMAN INSTRUMENTS AND CHEMICAL GOODS PRIVATE LIMITED at a glance

VARDHMAN INSTRUMENTS AND CHEMICAL GOODS PRIVATE LIMITED at a glance

VARDHMAN INSTRUMENTS AND CHEMICAL GOODS PRIVATE LIMITED is a micro chemicals manufacturing unit based in Dehradun. 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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Micro

Company Size

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Micro

Company Size

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Dehradun, India

Location

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Dehradun, India

Location

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Recipe/BOM control with expiry-aware inventory

Use Cases

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Recipe/BOM control with expiry-aware inventory

Use Cases

Challenges

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

Shortage was detected only when the supervisor walked the floor, not when planning was done.

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

After: Predictable execution, fewer escalations

After: Predictable execution, fewer escalations

After: Predictable execution, fewer escalations

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

Dispatch readiness built into the daily routine

Dispatch readiness built into the daily routine

Dispatch readiness built into the daily routine

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. For chemicals operations in Dehradun, this reduced dependence on a single person for updates. 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. For chemicals operations in Dehradun, 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, 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 single system of record connecting sales, purchase, production and dispatch so everyone worked off the same status. Masters were cleaned once, and daily reporting pulled from the same transactions instead of manual consolidation. For chemicals operations in Dehradun, 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, 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 single system of record connecting sales, purchase, production and dispatch so everyone worked off the same status. Masters were cleaned once, and daily reporting pulled from the same transactions instead of manual consolidation. For chemicals operations in Dehradun, 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.

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