LUKZER - TranZact AI

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LUKZER

LUKZER tightened shop-floor control with a centralised workflow

A practical shift from WhatsApp/Excel coordination to trackable daily execution.

48%

Reduction in daily coordination time for engineering work

48%

Reduction in daily coordination time for engineering work

33%

Reduction in excess inventory across store and production

33%

Reduction in excess inventory across store and production

9→3 days

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

9→3 days

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

How LUKZER operates

LUKZER is a small engineering manufacturing unit based in Thane. 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

Small

Company Size

Small

Company Size

Thane, India

Location

Thane, India

Location

Centralised purchase & vendor performance tracking

Use Cases

Centralised purchase & vendor performance tracking

Use Cases

Challenges

Priority orders jumped the queue; other jobs got half-started and left in between.

No simple view of vendor-wise delays, so the same issues repeated every month.

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

Stabilising planning with live WIP and material signals

Earlier, the daily plan was decided in fragments—by urgency, not by capacity and material signals. This broke down as soon as urgent orders came in; jobs were half-started and WIP piled up across stages. We implemented a centralised workflow where each order, material requirement and update had a clear owner and timestamp. Planning moved to a simple daily schedule linked to orders, capacity and material, reducing last-minute reshuffles. 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.

Dispatch readiness built into the daily routine

Earlier, vendor follow-ups were call-driven and depended on whoever remembered to push. This broke down during peak load—approvals got delayed and committed dates slipped without a simple exception view. We implemented structured stage-wise tracking and checklists so work moved forward only when prerequisites were met. The purchase team used one follow-up queue, logged committed dates, and escalated exceptions early. For engineering operations in Thane, 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.

After: Predictable execution, fewer escalations

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 single system of record connecting sales, purchase, production and dispatch so everyone worked off the same status. Collections follow-ups moved to a single list with dispute tagging so teams stopped chasing the wrong invoices. The practical outcome was smoother handovers between departments and more predictable daily execution.

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