KIDZLET PLAY STRUCTURES PRIVATE LIMITED

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From scattered sheets to one workflow: KIDZLET PLAY STRUCTURES PRIVATE LIMITED's ops reset

Standardising approvals and handovers so teams work off the same numbers.

28%

Reduction in daily coordination time for auto ancillary work

28%

Reduction in daily coordination time for auto ancillary work

32%

Reduction in excess inventory across store and production

32%

Reduction in excess inventory across store and production

3→3 days

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

3→3 days

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

How KIDZLET PLAY STRUCTURES PRIVATE LIMITED operates

KIDZLET PLAY STRUCTURES PRIVATE LIMITED is a micro auto ancillary manufacturing unit based in Gautam Buddha Nagar. 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.

Auto Ancillary

Industry

Auto Ancillary

Industry

Micro

Company Size

Micro

Company Size

Gautam Buddha Nagar, India

Location

Gautam Buddha Nagar, India

Location

Consumable/tooling control with daily WIP view

Use Cases

Consumable/tooling control with daily WIP view

Use Cases

Challenges

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

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

Store stock looked fine on paper but production bins were empty when job cards started.

Vendor coordination with structured PO follow-ups

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 structured stage-wise tracking and checklists so work moved forward only when prerequisites were met. Collections follow-ups moved to a single list with dispute tagging so teams stopped chasing the wrong invoices. The practical outcome was fewer escalations, faster decisions, and dates that changed less often.

After: Predictable execution, fewer escalations

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 single system of record connecting sales, purchase, production and dispatch so everyone worked off the same status. 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.

Controlling rework through traceability and holds

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 structured stage-wise tracking and checklists so work moved forward only when prerequisites were met. Supervisors started reviewing shortages at shift start and raised purchase/transfer requests before the line was blocked. For auto ancillary operations in Gautam Buddha Nagar, 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.

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