PoonaAgroCart LLP - TranZact AI

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PoonaAgroCart LLP

PoonaAgroCart LLP tightened shop-floor control with a centralised workflow

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

49%

Reduction in daily coordination time for chemicals work

49%

Reduction in daily coordination time for chemicals work

17%

Reduction in excess inventory across store and production

17%

Reduction in excess inventory across store and production

6→3 days

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

6→3 days

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

PoonaAgroCart LLP at a glance

PoonaAgroCart LLP is a micro chemicals manufacturing unit based in Pune. 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

Micro

Company Size

Micro

Company Size

Pune, India

Location

Pune, India

Location

Batch production + lot traceability + QC holds

Use Cases

Batch production + lot traceability + QC holds

Use Cases

Challenges

Production plan changed multiple times a day due to capacity conflicts and material gaps.

Same item had different names in Excel and accounting exports, so reports never matched store reality.

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

After: Predictable execution, fewer escalations

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 structured stage-wise tracking and checklists so work moved forward only when prerequisites were met. Planning moved to a simple daily schedule linked to orders, capacity and material, reducing last-minute reshuffles. For chemicals operations in Pune, this reduced dependence on a single person for updates. The practical outcome was smoother handovers between departments and more predictable daily execution.

Cleaning masters to make reports match reality

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 fewer escalations, faster decisions, and dates that changed less often.

Implementation: Centralised workflow with clear owners

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 a centralised workflow where each order, material requirement and update had a clear owner and timestamp. The purchase team used one follow-up queue, logged committed dates, and escalated exceptions early. The practical outcome was smoother handovers between departments and more predictable daily execution.

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