Bharat Expo Feeder
Bharat Expo Feeder
Bharat Expo Feeder
Improving planning discipline at Bharat Expo Feeder

Improving planning discipline at Bharat Expo Feeder

Improving planning discipline at Bharat Expo Feeder

Exceptions started surfacing early, reducing daily firefighting and urgent purchases. (case 653)

31%

Time saved in daily follow-ups

31%

Time saved in daily follow-ups

12%

Reduction in rework/rejection loops

12%

Reduction in rework/rejection loops

15 days

Order lead time improvement

15 days

Order lead time improvement

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About Bharat Expo Feeder

About Bharat Expo Feeder

Bharat Expo Feeder operates from Ghaziabad and builds brackets for repeat B2B buyers. As a small-scale fabrication unit running single shift, 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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Fabrication

Industry

Workspace Icon

Fabrication

Industry

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Small

Company Size

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Small

Company Size

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Ghaziabad

Location

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Ghaziabad

Location

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WIP tracking across cutting–welding–finishing with job sequencing

Use Cases

Workspace Icon

WIP tracking across cutting–welding–finishing with job sequencing

Use Cases

Challenges

Cutting status was tracked via WhatsApp-based follow-ups, so WIP clarity broke during single shift.

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

Dispatch dates were scheduled before checks for outside job-work, 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, Bharat Expo Feeder relied on WhatsApp-based follow-ups and calls to confirm welding 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, Bharat Expo Feeder relied on WhatsApp-based follow-ups and calls to confirm welding 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.

Purchase follow-ups with clarity

Purchase follow-ups with clarity

Purchase follow-ups with clarity

Earlier, buying for plates 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 brackets, 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 separate RM and FG stores.

Earlier, buying for plates 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 brackets, 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 separate RM and FG stores.

Fewer last-minute dispatch changes

Fewer last-minute dispatch changes

Fewer last-minute dispatch changes

Earlier, dispatch dates were committed before checks on surface finish. 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 repeat B2B buyers.

Earlier, dispatch dates were committed before checks on surface finish. 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 repeat B2B buyers.

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Built by IIT & IIM founders

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AI-Run Factory

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