MatchMyBiz AI Transparency & Ranking Disclosure
Effective Date: February 22, 2026
Version: 1.0
This AI Transparency & Ranking Disclosure (“Disclosure”) explains, at a high level, how MatchMyBiz LLC may use automated systems (including rules-based logic and machine learning) to support matching, ranking, recommendations, trust & safety, and fraud prevention on the Platform.
This Disclosure is designed to provide meaningful transparency without revealing sensitive security controls or proprietary details.
1. Where We Use Automated Systems
MatchMyBiz may use automated systems to:
• Match buyers and suppliers based on HS codes and related taxonomy (e.g., 6-, 8-, and 10-digit mappings where supported);
• Rank or order search results and recommendations;
• Suggest related HS codes or categories;
• Detect spam, fraud, abuse, and policy violations;
• Improve Platform performance, quality, and user experience.
2. What Inputs May Influence Matching and Ranking
Depending on the feature, ranking and recommendations may consider inputs such as:
• HS code relevance (exact match vs. partial match) and distance in taxonomy;
• Listing completeness and recency (e.g., updated listings may rank higher);
• Location signals (e.g., country/region alignment where relevant);
• User engagement signals (e.g., response rate, message timeliness);
• Trust and safety signals (e.g., verified email/company fields, policy compliance, suspicious activity flags);
• Subscription tier and paid placements (where clearly labeled as ads or sponsored results).
3. Ads, Sponsored Results, and Paid Features
If the Platform offers paid promotions (e.g., ads, featured listings, sponsored placements), these will be labeled. Paid placements may appear above or alongside organic results.
Subscription status may affect visibility or access to certain information consistent with the Platform’s monetization model.
4. Human Oversight and Exceptions
Certain moderation or enforcement actions may involve human review, especially for appeals, high-risk reports, or ambiguous cases.
We may also apply manual adjustments to address abuse, comply with law, or protect Platform integrity.
5. Limitations and No Guarantees
Automated systems are probabilistic and may produce errors. Matching or ranking does not constitute an endorsement, certification, or verification of any user, listing, or transaction.
Users remain responsible for due diligence, compliance checks, and verification of counterparties.
6. Your Choices and Controls
Depending on available settings, you may be able to:
• Update listing details to improve relevance;
• Provide additional company information for trust signals;
• Report suspicious activity or content;
• Request support review for certain actions.
7. Data Use for Model Improvement
We may use aggregated and de-identified usage data to improve matching quality, relevance, and safety systems. We may also use content and metadata as needed to provide Platform features (e.g., search indexing, spam detection) consistent with our Privacy Policy.
We do not disclose proprietary scoring weights or security thresholds to prevent manipulation and protect Platform integrity.
8. Changes to This Disclosure
We may update this Disclosure from time to time. We will post the updated version on the Platform and update the Effective Date.