Apparel & Fashion
AI built around how apparel companies actually operate.
Apparel operations run on a specific set of systems and a specific set of failure modes — EDI mismatches, retailer chargebacks, product data gaps, compliance misses. Generic AI tooling doesn’t know the difference between an ASN and an invoice. We built Ariva around this operational reality, not around AI in the abstract.
The Operational Environment
Eleven systems and workflows. One connected operation.
Product Lifecycle
From concept and design through sample approval, costing, and go-to-market — the workflow most apparel companies run on PLM.
Sourcing & Suppliers
Vendor onboarding, order placement, and the ongoing coordination that keeps supplier commitments on track.
Manufacturing
Production tracking, quality checks, and the handoffs between factory, agent, and brand.
ERP
The system of record for orders, inventory, and financials that most other systems ultimately reconcile against.
PLM
Product data, tech packs, and specs — the source of truth that compliance and manufacturing both depend on.
EDI
Purchase orders, ASNs, invoices, and remittances exchanged with retailers — the transaction layer where most operational exceptions surface.
Retailer Compliance
The routing guides, labeling rules, and shipping windows that, if missed, become the next chargeback.
Logistics
Warehousing, fulfillment, and shipping — where timing and accuracy determine whether a retailer accepts or deducts.
Customer Operations
Order status, returns, and the exception handling that customer-facing teams deal with every day.
Product Data
The attributes, imagery, and content that need to be accurate and consistent across every retailer channel.
Governance
The approval and audit layer that has to exist before AI is trusted with any of the above.
Why Vertical Depth Matters
A general-purpose AI tool doesn’t know what an ASN is.
Understanding a chargeback dispute means understanding the relationship between a purchase order, an ASN, an invoice, and a retailer’s routing guide — not just reading text. That operational knowledge is what makes an agent useful instead of generic. It’s also why AI in apparel operations has to be built by people who understand the industry, not adapted from a horizontal tool.
See Where This Applies to You
Explore AI opportunities in your operation.
Tell us which systems and workflows you run today, and we’ll help you see where AI creates value first.