Biotech (India)
Biotech (India)
Biotech (India)
Creating a single source of truth for Biotech (India)

Creating a single source of truth for Biotech (India)

Creating a single source of truth for Biotech (India)

Daily reviews got shorter because teams worked off the same status and dates. (case 682)

30%

Reduction in emergency purchases

30%

Reduction in emergency purchases

12%

Improvement in on-time dispatch

12%

Improvement in on-time dispatch

₹11 L/yr

Annual savings from avoided expediting

₹11 L/yr

Annual savings from avoided expediting

Hero Background

About Biotech (India)

About Biotech (India)

Biotech (India) operates from Mumbai and builds industrial coatings for distributors. As a micro-scale chemicals unit running two shifts, they work with a make-to-order model and two warehouses. They needed a centralised workflow to reduce daily follow-ups and keep commitments predictable.

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Chemicals

Industry

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Chemicals

Industry

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Micro

Company Size

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Micro

Company Size

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Mumbai

Location

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Mumbai

Location

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RM lot/expiry control and requirement-driven buying

Use Cases

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RM lot/expiry control and requirement-driven buying

Use Cases

Challenges

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

Resins shortages showed up late, causing emergency buys and delays on adhesives. when multiple orders overlapped.

Dispatch dates were committed before checks for QC holds, causing reshuffles (vendor billing cut-off rush).

Daily planning with one live view

Daily planning with one live view

Daily planning with one live view

Earlier, Biotech (India) relied on Excel-based plan and calls to confirm packing 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 extended shifts during peak weeks.

Earlier, Biotech (India) relied on Excel-based plan and calls to confirm packing 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 extended shifts during peak weeks.

Materials linked to live orders

Materials linked to live orders

Materials linked to live orders

Earlier, buying for drums 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 speciality blends, 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 two warehouses.

Earlier, buying for drums 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 speciality blends, 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 two warehouses.

Fewer last-minute dispatch changes

Fewer last-minute dispatch changes

Fewer last-minute dispatch changes

Earlier, dispatch dates were committed before checks on expiry/lot control. 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 project-based customers.

Earlier, dispatch dates were committed before checks on expiry/lot control. 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 project-based 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