APOLLO PLASTIC INDUSTRIES
APOLLO PLASTIC INDUSTRIES
APOLLO PLASTIC INDUSTRIES
Connecting materials to live orders at APOLLO PLASTIC INDUSTRIES

Connecting materials to live orders at APOLLO PLASTIC INDUSTRIES

Connecting materials to live orders at APOLLO PLASTIC INDUSTRIES

The team moved from ad-hoc tracking to one live view of WIP, shortages, and readiness. when the planner was on leave.

₹16 L/yr

Working capital freed from slow-movers

₹16 L/yr

Working capital freed from slow-movers

₹21 L/yr

Annual savings from avoided expediting

₹21 L/yr

Annual savings from avoided expediting

28%

Faster month-end reconciliation

28%

Faster month-end reconciliation

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About APOLLO PLASTIC INDUSTRIES

About APOLLO PLASTIC INDUSTRIES

APOLLO PLASTIC INDUSTRIES operates from Daman and builds blow-moulded bottles for distributors. As a medium-scale plastics unit running two shifts, they work with a make-to-order model and single 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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Medium

Company Size

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Medium

Company Size

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Daman

Location

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Daman

Location

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Batch/lot control and RM consumption visibility for moulded parts

Use Cases

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Batch/lot control and RM consumption visibility for moulded parts

Use Cases

Challenges

Mixing status was reconciled via WhatsApp-based follow-ups, so WIP clarity broke during two shifts.

Granules shortages showed up late, causing emergency buys and delays on moulded inserts.

Dispatch dates were promised before checks for WIP pile-up, causing reshuffles (bulk dispatch at month-end).

Workcentre progress captured at source

Workcentre progress captured at source

Workcentre progress captured at source

Earlier, APOLLO PLASTIC INDUSTRIES relied on planner’s notebook 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 staggered shifts.

Earlier, APOLLO PLASTIC INDUSTRIES relied on planner’s notebook 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 staggered shifts.

Purchase follow-ups with clarity around month-end dispatches.

Purchase follow-ups with clarity around month-end dispatches.

Purchase follow-ups with clarity around month-end dispatches.

Earlier, buying for granules 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 moulded inserts, 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 single stores.

Earlier, buying for granules 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 moulded inserts, 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 single stores.

Dispatch readiness checks especially during peak weeks.

Dispatch readiness checks especially during peak weeks.

Dispatch readiness checks especially during peak weeks.

Earlier, dispatch dates were committed before checks on lot traceability. 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 make-to-order model and export buyers.

Earlier, dispatch dates were committed before checks on lot traceability. 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 make-to-order model and export buyers.

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Built by IIT & IIM founders

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AI-Run Factory

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