ANKIT INDUSTRIES
ANKIT INDUSTRIES
ANKIT INDUSTRIES
Improving planning discipline at ANKIT INDUSTRIES

Improving planning discipline at ANKIT INDUSTRIES

Improving planning discipline at ANKIT INDUSTRIES

Planning became steadier once orders, materials, and dispatch checks were linked. when multiple orders overlapped.

₹10 L/yr

Working capital freed from slow-movers

₹10 L/yr

Working capital freed from slow-movers

33%

Reduction in inventory mismatch cases

33%

Reduction in inventory mismatch cases

13 days

Order lead time improvement

13 days

Order lead time improvement

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About ANKIT INDUSTRIES

About ANKIT INDUSTRIES

ANKIT INDUSTRIES operates from Pune and builds precision parts for repeat B2B buyers. As a medium-scale engineering 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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Engineering

Industry

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Engineering

Industry

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Medium

Company Size

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Medium

Company Size

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Pune

Location

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Pune

Location

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Purchase planning for critical bought-outs linked to job schedules

Use Cases

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Purchase planning for critical bought-outs linked to job schedules

Use Cases

Challenges

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

Bought-Outs shortages showed up late, causing emergency buys and delays on fixtures.

Dispatch dates were promised before checks for outside processing, causing reshuffles (vendor billing cut-off rush).

WIP visibility without chasing

WIP visibility without chasing

WIP visibility without chasing

Earlier, ANKIT INDUSTRIES relied on whiteboard planning and calls to confirm inspection 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 single shift.

Earlier, ANKIT INDUSTRIES relied on whiteboard planning and calls to confirm inspection 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 single shift.

Materials linked to live orders

Materials linked to live orders

Materials linked to live orders

Earlier, buying for tools 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 sub-assemblies, 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 tools 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 sub-assemblies, 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 around month-end dispatches.

Fewer last-minute dispatch changes around month-end dispatches.

Fewer last-minute dispatch changes around month-end dispatches.

Earlier, dispatch dates were committed before checks on custom job tracking. 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 distributors.

Earlier, dispatch dates were committed before checks on custom job tracking. 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 distributors.

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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