Source smarter with FDRA and Frank AI
Material Exchange is working with FDRA to create a new AI-led sourcing model for footwear, leather, and wider fashion sourcing.
Brands can now define a sourcing need and let Frank AI check what is available, compare supplier options, and benchmark them against their current supply base.
You set the need.
Frank checks the market.
Your team sees better sourcing options, faster.
Source smarter with FDRA and Frank AI
Material Exchange is working with FDRA to create a new AI-led sourcing model for footwear, leather, and wider fashion sourcing.
Brands can now define a sourcing need and let Frank AI check what is available, compare supplier options, and benchmark them against their current supply base.
You set the need.
Frank checks the market.
Your team sees better sourcing options, faster.
A new way to discover and benchmark suppliers
Supplier discovery is still too manual. It relies on existing networks, trade shows, spreadsheets, email chains, and time-consuming research.
Frank AI changes that.
A brand can define a need such as:
Find leather footwear suppliers in India that can support women’s casual footwear, meet our compliance requirements, offer competitive lead times, and benchmark them against our existing supply base.
Frank then identifies relevant suppliers, structures the data, compares capabilities, highlights gaps, and shows which suppliers are worth engaging.
This is not supplier search.
This is AI-led supplier intelligence.
What Frank AI checks
Frank assesses suppliers across the criteria that matter most to sourcing and product teams:
Supplier capability
Product category, material expertise, construction capability, technical ability, development support, sample capability, production scale, machinery, and experience with similar products or brands.
Commercial fit
Indicative pricing, MOQ, lead times, capacity, order flexibility, payment terms, development timelines, sampling speed, and suitability for target price points.
Compliance and risk
Certifications, audit status, restricted substance requirements, quality systems, documentation, traceability, third-party risk, country risk, and ability to meet brand standards.
Sustainability
Material options, environmental credentials, facility data, certifications, chemical management, waste reduction, traceability, and alignment with ESG goals.
Regional strategy
Country, region, logistics, duty exposure, trade preferences, geopolitical risk, lead time resilience, and supply base diversification.
Frank also benchmarks new options against your existing supply base, helping answer:
- Are we paying too much?
- Are our lead times competitive?
- Are we over-reliant on certain suppliers or countries?
- Are there better options in India, Vietnam, the US, Europe, or other sourcing territories?
- Which suppliers should we test, nominate, replace, or add?
Why FDRA matters
Through our work with FDRA, Material Exchange is helping footwear and leather brands access a more structured, AI-enabled approach to supplier discovery and benchmarking.
We are starting with India as the first active supplier cluster, using Frank AI to help brands discover, compare, and benchmark relevant suppliers faster.
This is not a passive supplier database.
It is a demand-led sourcing network.
Brands define what they need.
Frank identifies who can supply it.
Supplier options are benchmarked against the brand’s current supply base.
The brand gets a clearer view of where to source, who to engage, and why.
India first, more clusters following
India is the first active supplier cluster, focused on leather and footwear. Through CLE India, Material Exchange has access to over 200 identified leather suppliers that can be structured into brand sourcing workflows.
Other supplier clusters are following across key sourcing territories, including Vietnam, the US, Europe, and additional strategic markets.
Frank AI allows brands to compare options across regions, categories, capabilities, compliance, sustainability, cost, lead time, and risk.
The aim is to create a global, AI-led sourcing network where every brand need can be matched against the most relevant supplier clusters, wherever they are located.
What brands get
With Frank AI, brands can:
Define a sourcing need in plain language
Discover suppliers outside the existing network
Benchmark new options against current suppliers
Compare price, MOQ, capacity, lead time, compliance, sustainability, and risk
Identify supplier gaps and regional exposure
Find alternatives by country, category, material, capability, or certification
Request missing supplier data and documentation
Shortlist suppliers faster
Build a stronger, more resilient supply base
This is bigger than supplier search
Supplier discovery has been stuck in the past.
Frank AI turns sourcing into an intelligent, benchmarked, demand-led process.
For the first time, brands can set a need and let an AI agent check the market, compare new options, benchmark against existing supply, and show which suppliers are worth engaging.
From manual supplier search.
To intelligent supplier benchmarking.
From static directories.
To AI-led sourcing decisions.
Move beyond supplier search
Pre-register and we will notify you immediately of the upcoming launch.