METALCAST - TranZact AI

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METALCAST

METALCAST tightened shop-floor control with a centralised workflow

Standardising approvals and handovers so teams work off the same numbers.

34%

Reduction in daily coordination time for engineering work

34%

Reduction in daily coordination time for engineering work

30%

Reduction in excess inventory across store and production

30%

Reduction in excess inventory across store and production

3→2 days

Improvement in order-to-dispatch lead time with fewer last-minute follow-ups

3→2 days

Improvement in order-to-dispatch lead time with fewer last-minute follow-ups

METALCAST at a glance

METALCAST is a medium engineering manufacturing unit based in North West Delhi. Their day-to-day work involves coordinating orders, material availability, production execution and dispatch commitments. Earlier, updates were shared through a mix of Excel sheets, calls and WhatsApp, which made it hard to keep everyone aligned. By moving to a centralised workflow, the team standardised handovers, reduced rework in reporting, and improved execution predictability.

Engineering

Industry

Engineering

Industry

Medium

Company Size

Medium

Company Size

North West Delhi, India

Location

North West Delhi, India

Location

Quotation-to-order conversion + dispatch coordination

Use Cases

Quotation-to-order conversion + dispatch coordination

Use Cases

Challenges

Month-end reporting became a rework exercise because data lived in multiple files and chats.

Payment follow-ups depended on WhatsApp threads; disputes re-opened invoices at month-end.

WIP at job worker was invisible, so internal planning was always a guess.

Controlling rework through traceability and holds

Earlier, masters and transactions were split across Excel, accounting exports and WhatsApp updates. This broke down at month-end; teams rebuilt the same report multiple times and still debated the numbers. We implemented a centralised workflow where each order, material requirement and update had a clear owner and timestamp. Masters were cleaned once, and daily reporting pulled from the same transactions instead of manual consolidation. The practical outcome was that teams stopped re-entering the same data and acted on exceptions early.

Vendor coordination with structured PO follow-ups

Earlier, collections follow-ups were scattered and disputes reopened older invoices. This broke down on part-payments; the receivable view changed daily and escalations increased. We implemented a centralised workflow where each order, material requirement and update had a clear owner and timestamp. Collections follow-ups moved to a single list with dispute tagging so teams stopped chasing the wrong invoices. For engineering operations in North West Delhi, this reduced dependence on a single person for updates. The practical outcome was that teams stopped re-entering the same data and acted on exceptions early.

Dispatch readiness built into the daily routine

Earlier, job-work material movement was tracked in registers and return status was unclear. This broke down on returns; shortages and rate differences led to repeated reconciliations. We implemented structured stage-wise tracking and checklists so work moved forward only when prerequisites were met. Material sent out and received back was logged against job-work orders, making shortages visible immediately. It also made owner reviews easier because key exceptions were visible without chasing the team. The practical outcome was fewer escalations, faster decisions, and dates that changed less often.

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