Skyline Pharmatech - TranZact AI

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Skyline Pharmatech

Skyline Pharmatech improved delivery predictability with structured execution

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

52%

Reduction in daily coordination time for plastics work

52%

Reduction in daily coordination time for plastics work

14%

Reduction in excess inventory across store and production

14%

Reduction in excess inventory across store and production

5→2 days

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

5→2 days

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

Skyline Pharmatech at a glance

Skyline Pharmatech is a medium plastics 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.

Plastics

Industry

Plastics

Industry

Medium

Company Size

Medium

Company Size

Thane, India

Location

Thane, India

Location

Customer-wise variants + dispatch readiness

Use Cases

Customer-wise variants + dispatch readiness

Use Cases

Challenges

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

WIP quantity was unknown across stages, so dispatch dates moved every evening.

PO approvals got stuck with managers, leading to last-minute buying and frequent expedite.

Cleaning masters to make reports match reality

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. The practical outcome was that teams stopped re-entering the same data and acted on exceptions early.

After: Predictable execution, fewer escalations

Earlier, store stock, WIP and finished goods were tracked in separate sheets and message threads. This broke down whenever priorities changed—material looked available, but the line stalled due to bin-level shortages. We implemented a single system of record connecting sales, purchase, production and dispatch so everyone worked off the same status. Supervisors started reviewing shortages at shift start and raised purchase/transfer requests before the line was blocked. The practical outcome was smoother handovers between departments and more predictable daily execution.

Vendor coordination with structured PO follow-ups

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.

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