E-commerce

E-commerce – DTC Fashion Brand ($120M GMV): Demand & Fulfillment Intelligence AI

Timeline: Build: 11 weeks. Deploy: category pilot. Optimization: 12 weeks seasonality.

Business overview

Industry: DTC apparel. Complexity: seasonal collections, influencer spikes.

Common pain points

Manual forecasting, slow PO cycles, CX disconnected from inventory.

Full AI automation system (PrimeAxiom solution)

Demand Agent, PO Draft Agent, 3PL Router Agent, CX Resolution Agent.

Automation workflow (detailed system flow)

1. Signal ingestion: sales, ads, weather.
2. AI forecasts by SKU.
3. PO suggestions.
4. Finance approves thresholds.
5. 3PL pick/pack updates.
6. CX issues tied to stock positions.
7. Continuous learning.

AI agents & logic

Forecast Agent, Inventory Agent, Logistics Agent, CX Agent.

Technical architecture

Data warehouse, real-time Shopify hooks, LLM for CX with policy engine.

Tools & integrations

Shopify Plus, NetSuite, Flexport APIs, PostgreSQL, OpenAI, Gorgias

Results

Stockout rate −31%; margin on promotions +2.3 pts; CX resolution time −44%; planner manual hours −52%.

Timeline

Build: 11 weeks. Deploy: category pilot. Optimization: 12 weeks seasonality.