AI-Powered Supply Chain Data Intelligence for Fashion

Wiseside helps fashion and textile companies use AI to make supply chain data more accessible, structured and actionable.

In fashion supply chains, key information is often spread across certificates, technical sheets, test reports, supplier declarations, audit documents, transport documents, emails and internal systems. This makes it difficult to verify data quality, prepare audits, manage supplier onboarding and assess whether product information is ready to support Digital Product Passport initiatives.

Wiseside applies AI within a governed digital environment, where artificial intelligence supports human decision-making without replacing evidence, responsibility or validation. The goal is not to create generic AI tools, but to use AI where it can generate operational value: reading documents, extracting relevant fields, detecting gaps, highlighting inconsistencies and supporting users in managing complex information flows.

The service can support companies in:

• identifying missing, expired or inconsistent documents;

• checking the completeness of product and supplier data;

• detecting anomalies in materials, quantities, documents or production steps;

• helping teams prepare audits by querying available data and evidence;

• supporting DPP readiness by identifying which information is available and which gaps must be addressed;

• maintaining traceability between original documents, extracted data, user validations and corrective actions.

The solution is designed with human supervision, source tracking, audit trails, permission management and a clear distinction between original data, extracted information and AI-generated suggestions.

Wiseside does not position AI as a substitute for compliance, certification or expert judgement. AI is used as an operational assistant to reduce manual work, improve data quality and make supply chain evidence easier to manage.