Shipper CRM is a critical data provider in the AI agent stack for logistics and supply chain automation. For developers building autonomous sales agents or automated freight dispatchers, the platform offers the high-fidelity contact and location data necessary to fuel outreach. Its specific focus on warehouse-level decision-makers provides a granularity that generic lead-gen APIs lack, which is essential for agents that need to make context-aware decisions about freight capacity and lane matching.
As the industry moves toward "Agentic Sales," Shipper CRM's beta AI search engine points to a future where agents don't just find leads, but also synthesize the news and logistics context required to initiate a pitch. By serving as the "knowledge base" for the freight market, Shipper CRM enables the transition from manual, human-driven cold calling to data-rich, agent-assisted logistics management.
Shipper CRM originated from the challenges faced by its founders, Paul-Bernard Jaroslawski and Krystian Gebis, while running FreightCaviar, a popular media and social platform for the logistics industry. They identified a structural inefficiency in how freight brokers and carriers prospect for new business. The typical workflow involved cross-referencing LinkedIn, Google Maps, and static carrier databases—a process that could consume several hours per prospect. Shipper CRM was built to consolidate these disparate data points into a single, logistics-focused dashboard.
Founded in 2022 and based in Lublin, Poland, the company has quickly attracted backing from industry veterans. Investors include Tim Higham, CEO of AscendTMS, and Will Jenkins, co-founder of MoLo. This industry-first approach is reflected in their database, which tracks over 32,000 U.S. shippers. Unlike generic CRMs, the platform is built around the specific physical assets of a shipper, such as warehouse locations and shipping lanes, rather than just corporate headquarters.
The platform's technical differentiator is its "Magic Map" and warehouse discovery engine. In the freight world, the shipping decision-maker is often located at a specific distribution center or warehouse rather than a corporate office in a different state. Shipper CRM maps these locations and identifies the logistics managers at each site. This allows brokers to pitch with geographic context—for example, offering a truck to a shipper who has a load moving out of a specific facility today.
To ensure data accuracy, the company employs a "human-validated enrichment" model. This means that instead of relying purely on automated web scraping, which often leads to bounced emails and disconnected phone lines in the high-turnover logistics field, they verify decision-maker contacts daily. This is a critical feature for users who operate in high-volume outbound environments where data decay can cripple productivity.
Shipper CRM is currently moving beyond static data into active intelligence with its "Shipper Search Engine AI" (currently in Beta). This tool is designed to compress hours of manual research into approximately two minutes. It aggregates real-time data including location-specific news, financial updates, and recent shipping activity to give brokers a relevant "hook" for their sales calls.
The company operates on a transparent, user-based subscription model starting at $50 per month. This lower barrier to entry, compared to high-ticket enterprise data contracts, makes it accessible to independent owner-operators and small freight brokerages. By focusing on the specific data points that matter to a dispatcher—warehouses, logistics titles, and active news—Shipper CRM has established itself as the specialized alternative to broad sales intelligence platforms.
Sales intelligence platform for freight brokers to find and research shippers.