AXLE SHAFT INDIA - TranZact AI

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AXLE SHAFT INDIA

Creating a single source of truth for AXLE SHAFT INDIA

A centralised workflow replaced scattered updates and last-minute rescheduling. during vendor delays.

Improvement in on-time dispatch

25%

Reduction in inventory mismatch cases

25%

Reduction in inventory mismatch cases

14 days

Order lead time improvement

14 days

Order lead time improvement

About AXLE SHAFT INDIA

AXLE SHAFT INDIA operates from Ambala and builds machined components for export buyers. As a micro-scale auto ancillary unit running single shift, they work with a make-to-order model and job-site plus main warehouse. They needed a centralised workflow to reduce daily follow-ups and keep commitments predictable.

Auto Ancillary

Industry

Auto Ancillary

Industry

Micro

Company Size

Micro

Company Size

Ambala

Location

Ambala

Location

WIP + rework visibility for machining/assembly with inspection docs

Use Cases

WIP + rework visibility for machining/assembly with inspection docs

Use Cases

Challenges

Assembly status was tracked via planner’s notebook, so WIP clarity broke during two shifts.

Coolant shortages showed up late, causing emergency buys and delays on brackets.

Dispatch dates were committed before checks for inspection docs, causing reshuffles (inventory closing pressure).

Workcentre progress captured at source

Earlier, AXLE SHAFT INDIA relied on whiteboard planning and calls to confirm testing 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.

Requirement-driven buying rhythm

Earlier, buying for cutting 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 machined components, 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.

Dispatch readiness checks

Earlier, dispatch dates were committed before checks on vendor delays. 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 project-based customers.

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