SUPPLY CHAIN MAPPING AND RISK ANALYSIS

A passing score could mean the difference between delays, seizures, fines, empty shelves, and an impact to your brand, and business as usual.

Every day, thousands of forced labor violations are carried out uninterrupted throughout the world. Now you can find out if and how many are happening inside your supply chain, and change course in advance.

Alba has partnered with Tradeverifyd, a company that has been working with CBP since 2020, to identify organizations using forced or child labor to extract raw materials or manufacturer goods.

Leveraging billions of continuous signals related to materials availability, disruption and threat probability, supplier practices, and trade route compliance across the global supply chain, our solution’s Source-to-Customer Intelligence (SCI) platform builds supply chain resilience, identifies risks, and provides analysis so you can stamp out potential hazards and ensure compliance.

The Alba risk analysis
solution is easy to use.

Listen to Vince Iacopella of Alba and Philip Duplisey of Tradeverifyd (formerly mesur.io) discuss the regulatory landscape around UFLPA and our risk analysis solution in the video below.

Supply chain scoring
is a game changer

Alba’s risk analysis solution will review your product’s supply chain and return a compliance score from 0 to 1000. Goods that score above 800 have a low risk of falling foul of the UFLPA, whereas lower-scoring reports indicate potential problems and allow you to take action to correct weak points in your supply chain.

Why does it matter now?
What has changed?

Forced labor detentions took a significant step forward with the passage of the Uyghur Forced Labor Prevention Act (UFLPA) in late 2021. The legislation contains a rebuttal provision wherein any shipment containing something originating from the region is presumed violative.

The Trump administration has been making enforcement of UFLPA a priority too.

The difficulty of proving the lack of forced labor in this case is further complicated by the limited opportunities for on-the-ground investigations in many countries. Importers, sellers, and the U.S. government have been compelled to explore alternative methods for scrutinizing shipments and supply chains.

The use of forced and child labor extends beyond footwear and apparel, and is found outside of China.  Recent news articles have indicated forced labor and child labor being used in palm oil harvesting in South America, flower-picking for fragrance oils in Egypt.

Be certain of the risk within your own supply chain contact us.

Alba + Tradeverifyd = your edge in the market

Traceable Data Lineage

Alba prioritizes the use of traceable data lineage, which ensures that we have a clear understanding of the data’s origin and its entire journey, rather than relying on stagnant or static data sources.

Unfederated Data

Mesur.io safeguards information using unfederated data. In contrast to federated data, this method ensures that sensitive information is maintained separately, enhancing data security and reducing the likelihood of unauthorized access or data breaches.

Artificial Intelligence

Artificial Intelligence (AI) and Machine Learning (ML) help process vast amounts of data from diverse sources, such as labor records, social media, and satellite imagery to identify patterns and indicators of forced labor more effectively than manual efforts.

Reinforcement Learning

Thanks to Reinforcement Learning (RL), algorithms can continuously analyze and update models, adapting to evolving labor conditions and tactics employed by exploiters. This dynamic approach enhances the early detection and prevention of forced labor.

The difference is in the details

Alba’s solution uses its own satellite tasking and analysis, meaning that we don’t rely on images that are provided and potentially adulterated by another party before they become part of our data set.

Compare these two satellite images of the same site – one from Google, one from our solution. Notice the suspected forced labor camp that is visible in our image versus the one from Google where it is nowhere to be found. While we can’t say with certainty who or why it’s missing, this is but one example of how we take ownership of the data chain ourselves to reach a decision.

Forced labor camps missing from source satellite (left) images versus Alba and Tradeverifyd view (right).

FORCED LABOR DETECTION

The barrage of media and unending demands for your attention make it difficult to distill how events impact the compliance of your suppliers. Tradeverifyd’s media engine is laser focused on current events affecting your suppliers, so your team can understand the impact of court rulings, regulatory changes, breaking news, and sanctions affecting compliance and governance.

TRADE COMPLIANCE

The mesur.io platform securely integrates OSINT & ESG insights about your suppliers with your systems of record. Understanding how direct and indirect suppliers in your network approach labor practices helps your team make responsible procurement decisions and remediation plans without harming the vitality of your ecosystem.

TRADE ROUTE MONITORING

mesur.io’s n-Tier supplier maps let you move beyond reasonable care & diligence related to supplier practices and see the impact of every supplier and their suppliers on your operations. By combining OSINT, licensed, and proprietary datasets, your team has the intelligence necessary for immediate supplier challenges with confidence.

“CBP is working with the Department of Homeland Security’s Science and Technology Directorate under the Silicon Valley Innovation Program with cohort members Tradeverifyd, Neoflow, and Transmute to develop a global modernization strategy, which includes global interoperability standards.”

U.S. Customs and Border Patrol Press Release, 9/12/23

ALBA’S RISK ANALYSIS SOLUTION IS EXCEPTIONAL.
HERE’S WHAT MATTER MOST

  1. Total Privacy

    Your data stays your data, and the insights derived from your data, remain yours.

  2. Legal Record

    Complete data lineage. Use of Verifiable Credentials and digital signatures.

  3. Time & Place

    Time and geospatial awareness for all data in near real-time.

  4. Always-ON

    The system gets smarter with use/time by continuous information gathering.

  5. Smarter Everyday

    Reinforcement Learning algorithms take feedback from users and adjust accordingly.

  6. Massive Savings

    Low cost per use compared to competing methods.

Talk to a trade expert