Elite Technologies
Elite Technologies
Elite Technologies
From scattered sheets to one workflow: Elite Technologies's ops reset

From scattered sheets to one workflow: Elite Technologies's ops reset

From scattered sheets to one workflow: Elite Technologies's ops reset

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

35%

Reduction in daily coordination time for fabrication work

35%

Reduction in daily coordination time for fabrication work

4 hrs→45 mins

Faster PO approval to release cycle across store and production

4 hrs→45 mins

Faster PO approval to release cycle across store and production

₹18L/yr

Avoided expedite, rework and unplanned purchase costs with fewer last-minute follow-ups

₹18L/yr

Avoided expedite, rework and unplanned purchase costs with fewer last-minute follow-ups

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Inside Elite Technologies

Inside Elite Technologies

Elite Technologies is a micro fabrication 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.

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Fabrication

Industry

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Fabrication

Industry

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Micro

Company Size

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Micro

Company Size

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Nashik, India

Location

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Nashik, India

Location

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Job card based production + subcontracting traceability

Use Cases

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Job card based production + subcontracting traceability

Use Cases

Challenges

Customer statements took hours to reconcile due to scattered notes and missing debit/credit references.

Teams worked off screenshots and old sheets; daily numbers drifted from what the shop floor saw.

Dispatch dates slipped because packing list, invoice and transporter booking were not in sync.

Cleaning masters to make reports match reality

Cleaning masters to make reports match reality

Cleaning masters to make reports match reality

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 a single system of record connecting sales, purchase, production and dispatch so everyone worked off the same status. 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 fewer escalations, faster decisions, and dates that changed less often.

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 a single system of record connecting sales, purchase, production and dispatch so everyone worked off the same status. 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 fewer escalations, faster decisions, and dates that changed less often.

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. 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 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. The practical outcome was that teams stopped re-entering the same data and acted on exceptions early.

Dispatch readiness built into the daily routine

Dispatch readiness built into the daily routine

Dispatch readiness built into the daily routine

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. It also made owner reviews easier because key exceptions were visible without chasing the team. The practical outcome was fewer escalations, faster decisions, and dates that changed less often.

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. It also made owner reviews easier because key exceptions were visible without chasing the team. The practical outcome was fewer escalations, faster decisions, and dates that changed less often.

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