ORANGE AUTOMATION AND AI SOLUTIONS PVT LTD
ORANGE AUTOMATION AND AI SOLUTIONS PVT LTD
ORANGE AUTOMATION AND AI SOLUTIONS PVT LTD
ORANGE AUTOMATION AND AI SOLUTIONS PVT LTD tightened shop-floor control with a centralised workflow

ORANGE AUTOMATION AND AI SOLUTIONS PVT LTD tightened shop-floor control with a centralised workflow

ORANGE AUTOMATION AND AI SOLUTIONS PVT LTD tightened shop-floor control with a centralised workflow

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

37%

Reduction in daily coordination time for auto ancillary work

37%

Reduction in daily coordination time for auto ancillary work

18%

Reduction in excess inventory across store and production

18%

Reduction in excess inventory across store and production

6→1 days

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

6→1 days

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

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How ORANGE AUTOMATION AND AI SOLUTIONS PVT LTD operates

How ORANGE AUTOMATION AND AI SOLUTIONS PVT LTD operates

ORANGE AUTOMATION AND AI SOLUTIONS PVT LTD is a small auto ancillary manufacturing unit based in Coimbatore. 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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Small

Company Size

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Small

Company Size

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Coimbatore, India

Location

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Coimbatore, India

Location

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PO-linked production planning + vendor scheduling

Use Cases

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PO-linked production planning + vendor scheduling

Use Cases

Challenges

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

Job-work material sent out was tracked in registers; return quantity and shortages were unclear.

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

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 a centralised workflow where each order, material requirement and update had a clear owner and timestamp. Dispatch checklists were run a day ahead so invoicing, packing and transporter booking stayed aligned. 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, 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 a centralised workflow where each order, material requirement and update had a clear owner and timestamp. Dispatch checklists were run a day ahead so invoicing, packing and transporter booking stayed aligned. 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, job-work material movement was tracked in registers and return status was unclear. This broke down on returns; shortages and rate differences led to repeated reconciliations. We implemented a single system of record connecting sales, purchase, production and dispatch so everyone worked off the same status. Material sent out and received back was logged against job-work orders, making shortages visible immediately. 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, job-work material movement was tracked in registers and return status was unclear. This broke down on returns; shortages and rate differences led to repeated reconciliations. We implemented a single system of record connecting sales, purchase, production and dispatch so everyone worked off the same status. Material sent out and received back was logged against job-work orders, making shortages visible immediately. 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, 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. For auto ancillary operations in Coimbatore, this reduced dependence on a single person for updates. The practical outcome was fewer escalations, faster decisions, and dates that changed less often.

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

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Built by IIT & IIM founders

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AI-Run Factory

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Built by IIT & IIM founders