Amazon Plastics Pvt Ltd
Amazon Plastics Pvt Ltd
Amazon Plastics Pvt Ltd
Making daily execution predictable at Amazon Plastics Pvt Ltd

Making daily execution predictable at Amazon Plastics Pvt Ltd

Making daily execution predictable at Amazon Plastics Pvt Ltd

Exceptions started surfacing early, reducing daily firefighting and urgent purchases. during shift changes.

26%

Reduction in emergency purchases

26%

Reduction in emergency purchases

48%

Time saved in daily follow-ups

48%

Time saved in daily follow-ups

₹10 L/yr

Annual savings from avoided expediting

₹10 L/yr

Annual savings from avoided expediting

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About Amazon Plastics Pvt Ltd

About Amazon Plastics Pvt Ltd

Amazon Plastics Pvt Ltd operates from Dadra & Nagar Haveli and builds rubber seals for export buyers. As a micro-scale plastics unit running staggered shifts, they work with a mix of make-to-stock and make-to-order model and separate RM and FG stores. They needed a centralised workflow to reduce daily follow-ups and keep commitments predictable.

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Plastics

Industry

Workspace Icon

Plastics

Industry

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Micro

Company Size

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Micro

Company Size

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Dadra & Nagar Haveli

Location

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Dadra & Nagar Haveli

Location

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Scrap and rework tracking by shift with lot traceability

Use Cases

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Scrap and rework tracking by shift with lot traceability

Use Cases

Challenges

Packing status was updated via whiteboard planning, so WIP clarity broke during staggered shifts.

Additives shortages showed up late, causing emergency buys and delays on blow-moulded bottles.

Dispatch dates were committed before checks for mould changeovers, causing reshuffles (bulk dispatch at month-end).

Daily planning with one live view

Daily planning with one live view

Daily planning with one live view

Earlier, Amazon Plastics Pvt Ltd relied on Excel-based plan and calls to confirm rework progress. When priorities changed, different teams carried different versions of the plan. A centralised workflow captured stage updates at source, so WIP moved with clear ownership. The daily review shifted from collecting updates to resolving exceptions. Supervisors started closing handovers on time, improving predictability during two shifts.

Earlier, Amazon Plastics Pvt Ltd relied on Excel-based plan and calls to confirm rework progress. When priorities changed, different teams carried different versions of the plan. A centralised workflow captured stage updates at source, so WIP moved with clear ownership. The daily review shifted from collecting updates to resolving exceptions. Supervisors started closing handovers on time, improving predictability during two shifts.

Shortage list with vendor dates

Shortage list with vendor dates

Shortage list with vendor dates

Earlier, buying for masterbatch was triggered after shortages hit the shopfloor. Follow-ups lived in personal reminders, so receipts slipped during busy days. Requirements were linked to live orders and rubber seals, creating a daily shortage list. Vendors were followed up against dates, not memory, and approvals became faster. The team reduced emergency purchases and avoided excess on slow movers across job-site plus main warehouse.

Earlier, buying for masterbatch was triggered after shortages hit the shopfloor. Follow-ups lived in personal reminders, so receipts slipped during busy days. Requirements were linked to live orders and rubber seals, creating a daily shortage list. Vendors were followed up against dates, not memory, and approvals became faster. The team reduced emergency purchases and avoided excess on slow movers across job-site plus main warehouse.

Promise dates with readiness gates

Promise dates with readiness gates

Promise dates with readiness gates

Earlier, dispatch dates were committed before checks on mould changeovers. Packing, QA clearance, and paperwork were tracked in different places. Readiness gates were added so jobs were released only when documents were complete. Customers got clearer dates, and escalations reduced because holds had visible reasons. Dispatch planning became steadier even with a mix of make-to-stock and make-to-order model and OEM customers.

Earlier, dispatch dates were committed before checks on mould changeovers. Packing, QA clearance, and paperwork were tracked in different places. Readiness gates were added so jobs were released only when documents were complete. Customers got clearer dates, and escalations reduced because holds had visible reasons. Dispatch planning became steadier even with a mix of make-to-stock and make-to-order model and OEM customers.

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Built by IIT & IIM founders

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Become the
AI-Run Factory

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Built by IIT & IIM founders