Measuring quality from end-to-end

Creating a supply-chain consortium can act to drive semantic coherency between parties and shared performance indicators can be measured to quickly identify root causes for quality issues. Larger datasets can also be confidentially pooled, meaning that no party has access to the data pool but that reports based on the data can be returned, for further insights or to train industry specific machine learning models. Workflow automation in a supply-chain consortium can also act as the railway on which just-in-time triggers as well as forecasting can be executed and calibrated.

Trust based on math and physics

One of the most misunderstood and ripe areas for development in supply chain relationships is trust. Trust (and its cousin, Collaboration) seems to be the single most discussed element in making supply chains function effectively and efficiently. Trust, or lack thereof, is therefore one of the main thresholds holding supply-chain consortiums back from forming.

Luckily, we have begun to discover a new paradigm for trust that was introduced with the creation of the Internet. It is a kind of trust that is programmable. It is enabled by software, and its guarantees are based on something more fundamental than the authority of a human institution. It is several ways to use encryption to ensure the validity of source code, the integrity of protected processing and the immutability of data just to name a few applications.

At Sendex we leverage these technologies to bridge any trust gaps and lay down a foundation where collaboration can se root and be built upon as the parties form stronger and stronger collaborative bonds.