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Phoenix Industries

How Phoenix Industries reduced firefighting using a single system of record

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

56%

Reduction in daily coordination time for engineering work

56%

Reduction in daily coordination time for engineering work

28%

Reduction in excess inventory across store and production

28%

Reduction in excess inventory across store and production

4→1 days

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

4→1 days

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

How Phoenix Industries operates

Phoenix Industries is a micro engineering manufacturing unit based in Nashik. 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.

Engineering

Industry

Engineering

Industry

Micro

Company Size

Micro

Company Size

Nashik, India

Location

Nashik, India

Location

Multi-stage production planning + WIP control

Use Cases

Multi-stage production planning + WIP control

Use Cases

Challenges

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

Priority orders jumped the queue; other jobs got half-started and left in between.

Short/excess at dispatch led to urgent rework and multiple trips between store and floor.

Implementation: Centralised workflow with clear owners

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 structured stage-wise tracking and checklists so work moved forward only when prerequisites were met. 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 that teams stopped re-entering the same data and acted on exceptions early.

After: Predictable execution, fewer escalations

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. For engineering operations in Nashik, this reduced dependence on a single person for updates. The practical outcome was fewer escalations, faster decisions, and dates that changed less often.

Before: Too many moving parts, no single view

Earlier, dispatch readiness depended on people coordinating invoice, packing and transporter on calls. This broke down when transporter slots moved; finished goods were ready but paperwork and packing lagged behind. We implemented structured stage-wise tracking and checklists so work moved forward only when prerequisites were met. Dispatch checklists were run a day ahead so invoicing, packing and transporter booking stayed aligned. For engineering operations in Nashik, 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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