Edisoft is mainly involved in ERP integrated Electronic Data Interchange and ERP integrated Warehouse and Shipping automation. What has been key to Edisoft recent success is invention and innovation. Edisoft has been able to incorporate new and exciting products and services that have made it easier for suppliers to fulfil orders from international online web stores such as Wal-mart.com. Currently, Edisoft is one of the leading North America’s Supply Chain Software Companies. As it stands, Edisoft objectives only prove that 2017 is going to be another booming year. Edisoft is seeking self-motivated success driven young youths to add to its already established results driven culturally diverse team (Crunchbase). Edisoft had its roots back in 1995.
Its sole objective of being founded was to provide EDI solutions to both small and medium sized firms thus making it easier for them to connect with their trading partners. Initially, it seemed like an unachievable goal. However, as the adage says success does not come on a silver platter, and every mighty run starts with a single stride. Initially, Edisoft assembled a team of an international team Edi and software experts in Toronto which was its headquarters by then. The team then ventured on an intensive R&D program that would later lead to the unveiling of an Edisoft Merchant suite of products and a refined EDI solution that would blend in with most native databases of major accounting systems. Initially, when visibility solutions were first made available, measuring on-time performances was the most vital indicator for the transportation department (http://www.bloomberg.com/research/stocks/private/snapshot.asp?privcapid=9478384). However, motor carriers used their service types to be measured.
Both ocean and air carriers used on-time measure modes. Uses of multimode or multi-leg shipments were very scarce occasions. In the current market, when it comes down to the evaluation of opportunities for supply chain performances, the best practice KPI’s now do not focus on individual operations of a particular carrier instead they focus on metrics across trading partners. The main key to properly analyzing and obtaining desired conclusions from big data is ensuring all the parties involved give complete, true and timely data. It is also important to have an evaluation criterion and an appropriate data quality management program.