Infor and Integration Point join forces for supply chain platform
05 / 02 / 2018
Cloud application provider Infor and global trade management solution provider Integration Point have teamed up to deliver a new global trade management product on a single shared information network.
The solution will integrate elements such as logistics, trade finance, trade compliance, trade content, customs filing and duty optimisation, allowing end-to-end connectivity, visibility and collaboration with all parties in the supply chain.
The combination of Integration Point’s trade content and compliance data with transactions managed on Infor’s GT Nexus Commerce Network helps importers and exporters comply with the various trade regulations and filing requirements pertaining to their operations.
Tom Barnes, CEO of Integration Point, said: “Connectivity with trading partners and regulatory agencies, together with localised knowledge, enables our customers to stay ahead of changing regulatory requirements. This combined solution enables customers to conduct automated due diligence for 206 countries and territories before and during the transaction lifecycle, streamlining document creation and customs clearance – thereby reducing cycle times and risk.”
According to Kurt Cavano, president of the Infor GT Nexus Commerce Network: “Trade compliance becomes more strategic when you connect it directly to your supply chain processes. Companies often experience cargo delays due to inefficient systems and processes, or overpay in duties because they’re not set up to take advantage of programs or systems that can reduce their net fees.”
A statement said that the global trade management capabilities are “part of a broader suite of supply chain management solutions offered by Infor, including warehouse management, supply chain planning, supplier collaboration, and procure to pay automation”.
- On 31 January, Infor launched new supply chain management capabilities designed to accelerate digital transformation in the supply chain, using technologies such as big data, machine learning, IoT and automation to “provide predictive ETAs, real-time visibility and 3D visualisation of warehouse flow”.