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AI-Native Production Planning System for Garment Factories

We replaced the spreadsheets a garment factory used to track hundreds of orders for Adidas and Nike with one live board that plans backwards from the deadline and blocks work that skips a quality gate.

Client
Aryan Apparels Pvt Ltd
Stack & approach
ManufacturingProduction PlanningSOP GatesCapacity SimulationNext.js
Interface screens from AI-Native Production Planning System for Garment Factories
Interface, from the 360Labs case-study deck (page 16).

The problem

Garment manufacturers producing for Adidas, Nike and Reebok tracked hundreds of orders across 9 departments in Excel: no automated milestone planning, no quality-gate enforcement, no capacity simulation, and no real-time visibility into delays.

Solution & architecture

A dual-track milestone engine with SOP quality gates and capacity simulation. Track A computes backward milestones from the customer-requested date; Track B triggers from real events like GRN receipt. 9 mandatory pre-cutting gates with evidence uploads, plus what-if capacity simulation with overtime.

Why it is built this way

  • One source of truth

    Replaces Excel across 9 departments

  • Quality enforced

    No order proceeds past a failed gate

  • Plan before you commit

    What-if simulation with overtime

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