ADPL is an AI-Integrated Fashion Company

Fashion today runs on assumptions.
ADPL runs on data.

1. Centralised Data Engine

ADPL aggregates real-time data from:

• B2B order flows

• D2C website transactions

• Marketplace performance

• SKU-level sell-through

• Return behaviour

• Fabric consumption patterns

This creates a live demand map.

Decisions are not guessed. They are calculated.

2. AI-Led Forecasting & SKU Intelligence

Our system analyses:

• Style velocity

• Size-level movement

• Color trends

• Region-specific demand

• Price elasticity

Output:

• What to produce

• How much to produce

• When to replenish

• When to stop

Impact:

• Reduced dead inventory

• Controlled production

• Higher sell-through

3. AI-Integrated Manufacturing Planning

Production is linked to live demand signals.

• Capacity optimisation

• Batch planning

• Fabric allocation

• Margin-based SKU prioritisation

Instead of:

Produce → Push → Discount

We do:

Predict → Produce → Optimise

4. AI-Enabled Consumer Layer

Virtual Try-On
AI CRM (Nora)
Return pattern tracking

This feeds back into:

• Size calibration

• Design corrections

• Fit improvements

Customer data improves production accuracy.

5. The ADPL Data Flywheel

Demand Data
→ AI Forecast
→ Smart Production
→ Optimised Sell-Through
→ Margin Intelligence
→ Refined Forecast

Each cycle reduces inefficiency.

“ADPL is not using AI as a feature. AI is the operating core of our business.”

Most brands:

• Use AI only for marketing

• Use ERP only for accounting

• Use Excel for planning

ADPL:

• Uses AI for demand creation

• Uses AI for production planning

• Uses AI for margin expansion