Loop

Loop operates a full-stack logistics data platform rather than a traditional outsourced audit service. Its AI normalizes fragmented shipment and tracking data into a single source of truth, then layers audit, payment, and cost-allocation workflows directly onto that foundation. This architecture allows clients to run continuous contract-enforcement analytics and dynamic spend reallocation from the same system, rather than receiving periodic audit reports from a third party and executing changes manually.

Loop's confirmed clients include industrial manufacturers like Gillig, freight brokers such as Loadsmart, and Fortune 500 shippers in the pharmaceutical sector. Gillig reported 6% transportation savings identified through Loop's analytics (per the firm, undated). Loadsmart reduced its invoice-to-approval cycle to 13 minutes per shipment. A pharmaceutical client identified $2.4 million in quarterly savings through a scenario-planning exercise that shifted volume between FedEx and UPS.

Loop's platform demonstrates integration with major parcel carriers, including FedEx and UPS, based on disclosed client case studies involving volume-shifting and cost-to-serve modeling. The platform's data-normalization layer ingests shipment data from multiple carrier formats, and its analytics cover parcel-shipment visibility, carrier accountability, and contractual compliance across transportation modes. Specific less-than-truckload, full-truckload, or ocean carrier coverage beyond parcel is not publicly disclosed.

Loop applies AI at the data-normalization layer, meaning the platform learns carrier-contract structures, invoice formats, and cost anomalies during ingestion rather than applying analytics post hoc to a cleaned dataset. This full-stack approach means optimization logic and audit rules run on the same data foundation, so cost findings are immediately actionable in payment workflows. The platform was recognized by Gartner in its 2026 Market Guide specifically for its AI-driven data foundation and combined audit, payment, and visibility services.

Loop states that shippers can get live on the platform in weeks, suggesting the firm has productized the data-ingestion and normalization process to reduce enterprise implementation timelines. The speed is enabled by the AI-native architecture, which automates the mapping of disparate carrier data feeds and contract terms into Loop's unified data model without lengthy custom integration cycles.