Anando
Anando
Anando
Connecting materials to live orders at Anando

Connecting materials to live orders at Anando

Connecting materials to live orders at Anando

Daily reviews got shorter because teams worked off the same status and dates. (case 399)

₹22 L/yr

Working capital freed from slow-movers

₹22 L/yr

Working capital freed from slow-movers

57%

Faster month-end reconciliation

57%

Faster month-end reconciliation

₹7 L/yr

Annual savings from avoided expediting

₹7 L/yr

Annual savings from avoided expediting

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About Anando

About Anando

Anando operates from Mumbai and builds tooling components for project-based customers. As a micro-scale engineering unit running two shifts, they work with a make-to-stock 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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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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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 updated via WhatsApp-based follow-ups, so WIP clarity broke during staggered shifts.

Tools shortages showed up late, causing emergency buys and delays on tooling components. when multiple orders overlapped.

Dispatch dates were committed before checks for drawing revisions, causing reshuffles (month-end GST pressure).

WIP visibility without chasing

WIP visibility without chasing

WIP visibility without chasing

Earlier, Anando relied on Excel-based plan and calls to confirm job planning 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, Anando relied on Excel-based plan and calls to confirm job planning 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.

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 fixtures, 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 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 fixtures, 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.

Paperwork + packing visibility

Paperwork + packing visibility

Paperwork + packing visibility

Earlier, dispatch dates were committed before checks on multi-dept coordination. 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 distributors.

Earlier, dispatch dates were committed before checks on multi-dept coordination. 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 distributors.

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Become the
AI-Run Factory

Born in India. Building for the world.

Built by IIT & IIM founders

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Become the
AI-Run Factory

Born in India. Building for the world.

Built by IIT & IIM founders