Green Leaf - TranZact AI

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Green Leaf

How Green Leaf reduced firefighting using a single system of record

Bringing purchase, production and dispatch on one timeline—without adding complexity.

42%

Reduction in daily coordination time for electrical work

42%

Reduction in daily coordination time for electrical work

30%

Reduction in excess inventory across store and production

30%

Reduction in excess inventory across store and production

3→1 days

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

3→1 days

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

About Green Leaf

Green Leaf is a small electrical manufacturing unit based in Shimoga. 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.

Electrical

Industry

Electrical

Industry

Small

Company Size

Small

Company Size

Shimoga, India

Location

Shimoga, India

Location

Multi-warehouse inventory with serial/batch control

Use Cases

Multi-warehouse inventory with serial/batch control

Use Cases

Challenges

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

Dispatch dates slipped because packing list, invoice and transporter booking were not in sync.

Receivable status changed daily because part-payments were not tagged to specific invoices.

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 that teams stopped re-entering the same data and acted on exceptions early.

After: Predictable execution, fewer escalations

Earlier, dispatch readiness depended on people coordinating invoice, packing and transporter on calls. This broke down when transporter slots moved; finished goods were ready but paperwork and packing lagged behind. We implemented structured stage-wise tracking and checklists so work moved forward only when prerequisites were met. Dispatch checklists were run a day ahead so invoicing, packing and transporter booking stayed aligned. Over time, the team built confidence because the numbers matched what they saw on the floor. The practical outcome was that teams stopped re-entering the same data and acted on exceptions early.

Implementation: Centralised workflow with clear owners

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. It also made owner reviews easier because key exceptions were visible without chasing the team. The practical outcome was smoother handovers between departments and more predictable daily execution.

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