SAP shipping and logistics solution for parcel and freight operations
ShipERP is a SAP-native shipping platform built on S/4HANA, EWM, and Fiori—the company is doubling down on SAP ecosystem depth rather than building polyglot infrastructure. The tech stack reveals a traditional enterprise software profile (SAP SD, Oracle, NetSuite backends) paired with Python and data-science libraries (scikit-learn, Pandas, NumPy), suggesting they're layering analytics and billing automation on top of legacy systems. Active projects center on billing reconciliation, data modeling for high-transaction environments, and SAP add-on implementation—pointing to a services-and-integration business model rather than a pure SaaS play.
ShipERP, founded in 2007 and headquartered in Long Beach, California, helps mid-market and enterprise shipping and logistics businesses automate rate shopping, labeling, tracking, and compliance workflows within their SAP environments. The company positions itself as a SAP software solutions partner, offering implementations, upgrades, and EWM (Extended Warehouse Management) deployments. Customer base spans parcel carriers, freight forwarders, and 3PLs managing high-transaction volume operations. The business model blends implementation services (ad hoc billing projects, system improvements, training delivery) with packaged add-ons (SAP ShipERP modules). Operations span the United States and Philippines.
SAP (S/4HANA, EWM, SD, Fiori), NetSuite, Oracle, AWS, Azure, Python, Kubernetes, Docker, MongoDB, Salesforce, and data-science libraries (scikit-learn, Pandas, NumPy).
Long Beach, California. The company was founded in 2007 and currently operates 51–200 employees.
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ShipERP's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.