KHODAL ENTERPRISE - TranZact AI

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KHODAL ENTERPRISE

KHODAL ENTERPRISE tightened shop-floor control with a centralised workflow

Turning daily follow-ups into a repeatable workflow across departments.

39%

Reduction in daily coordination time for chemicals work

39%

Reduction in daily coordination time for chemicals work

24%

Reduction in excess inventory across store and production

24%

Reduction in excess inventory across store and production

8→2 days

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

8→2 days

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

KHODAL ENTERPRISE at a glance

KHODAL ENTERPRISE is a small chemicals manufacturing unit based in Vadodara. 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.

Chemicals

Industry

Chemicals

Industry

Small

Company Size

Small

Company Size

Vadodara, India

Location

Vadodara, India

Location

Batch production + lot traceability + QC holds

Use Cases

Batch production + lot traceability + QC holds

Use Cases

Challenges

QC holds were not reflected in available stock, leading to accidental usage.

Vendor committed dates were verbal; delays were discovered only after repeated calls.

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

Before: Too many moving parts, no single view

Earlier, QC holds and rework notes were kept on paper and were not visible to planning. This broke down during rejections; without traceability, isolating root cause took days and blocked dispatch. We implemented a single system of record connecting sales, purchase, production and dispatch so everyone worked off the same status. QC marked holds against lots, and planners saw only cleared stock as available for production. The practical outcome was that teams stopped re-entering the same data and acted on exceptions early.

Reducing month-end surprises with traceable transactions

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. The practical outcome was fewer escalations, faster decisions, and dates that changed less often.

Cleaning masters to make reports match reality

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 single system of record connecting sales, purchase, production and dispatch so everyone worked off the same status. Planning moved to a simple daily schedule linked to orders, capacity and material, reducing last-minute reshuffles. The practical outcome was fewer escalations, faster decisions, and dates that changed less often.

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