Medex Technologies Private Limited
Medex Technologies Private Limited
Medex Technologies Private Limited
Medex Technologies Private Limited improved delivery predictability with structured execution

Medex Technologies Private Limited improved delivery predictability with structured execution

Medex Technologies Private Limited improved delivery predictability with structured execution

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

32%

Reduction in daily coordination time for packaging work

32%

Reduction in daily coordination time for packaging work

33%

Reduction in excess inventory across store and production

33%

Reduction in excess inventory across store and production

3→3 days

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

3→3 days

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

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Medex Technologies Private Limited at a glance

Medex Technologies Private Limited at a glance

Medex Technologies Private Limited is a micro packaging 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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Packaging

Industry

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Packaging

Industry

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Micro

Company Size

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Micro

Company Size

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Coimbatore, India

Location

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Coimbatore, India

Location

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Material planning for films, inks & adhesives

Use Cases

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Material planning for films, inks & adhesives

Use Cases

Challenges

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

PO approvals got stuck with managers, leading to last-minute buying and frequent expedite.

Production plan changed multiple times a day due to capacity conflicts and material gaps.

Implementation: Centralised workflow with clear owners

Implementation: Centralised workflow with clear owners

Implementation: Centralised workflow with clear owners

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 single system of record connecting sales, purchase, production and dispatch so everyone worked off the same status. Dispatch checklists were run a day ahead so invoicing, packing and transporter booking stayed aligned. 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 single system of record connecting sales, purchase, production and dispatch so everyone worked off the same status. Dispatch checklists were run a day ahead so invoicing, packing and transporter booking stayed aligned. 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, vendor follow-ups were call-driven and depended on whoever remembered to push. This broke down during peak load—approvals got delayed and committed dates slipped without a simple exception view. We implemented a single system of record connecting sales, purchase, production and dispatch so everyone worked off the same status. The purchase team used one follow-up queue, logged committed dates, and escalated exceptions early. The practical outcome was that teams stopped re-entering the same data and acted on exceptions early.

Earlier, vendor follow-ups were call-driven and depended on whoever remembered to push. This broke down during peak load—approvals got delayed and committed dates slipped without a simple exception view. We implemented a single system of record connecting sales, purchase, production and dispatch so everyone worked off the same status. The purchase team used one follow-up queue, logged committed dates, and escalated exceptions early. The practical outcome was that teams stopped re-entering the same data and acted on exceptions early.

After: Predictable execution, fewer escalations

After: Predictable execution, fewer escalations

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 structured stage-wise tracking and checklists so work moved forward only when prerequisites were met. Planning moved to a simple daily schedule linked to orders, capacity and material, reducing last-minute reshuffles. For packaging operations in Coimbatore, 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, 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 structured stage-wise tracking and checklists so work moved forward only when prerequisites were met. Planning moved to a simple daily schedule linked to orders, capacity and material, reducing last-minute reshuffles. For packaging operations in Coimbatore, 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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