Enhance supply chain trust and predictability by leveraging Trust Scores to forecast outcomes, make data-backed decisions, and drive optimization and supply chain maturity initiatives.

The Trust engine monitors all supply chain flows and calculates a trust score when it detects anomalies, such as unexpected delays, skipped steps, or bursts of emails indicating chaos. This score reflects the trustworthiness and predictability of users, departments, organizations, processes, systems, and specific activities in the supply chain.

Monitoring the behavior of global multi-tiered supply chains is challenging due to disparate, isolated data coming from multiple communication protocols like EDI or emails, and various data formats, internal systems, departments, channels, and partners.

Mapping unstructured documents and unmapped structured data into a unified data warehouse is a common obstacle to understanding behavior.

Traditional supply chain tools focus narrowly on quantitative metrics like inventory and lack the capability to qualitatively explain behavioral aspects, such as trust, credibility, predictability, or crisis management.

Monitoring the on-time completion of each step in the Flow chain owned by a specific entity as either an End step (initiation and End Goals) or a Means step (a critical step to deliver the End step). The highest trust score is achieved when all End and Means steps are completed on time. The score degrades progressively when End steps are done on time but Means steps are not, and so forth.

Monitoring the number of unplanned emails, chats, and documents for a flow and calculating its signal-to-noise ratio.

Calculating a score for each step, each flow, each family of flows, and the whole system in general.

Calculating a score for each user, department, and organization, aggregated from the process trust scores.

Predicting the expected outcome of a step and flow based on the trust score.

Recommending either serializing or parallelizing cascaded processes, such as supply and demand, depending on the trust of the upstream processes. This can reduce lead times and improve customer satisfaction by optimizing on-time delivery.

Recommending the most optimal pathway based on the trust of the partners, processes, and people involved in achieving that goal.

Identify underperforming or overperforming partners, pinpoint areas of improvement or opportunities to learn from a partner and replicate successful practices.

Receive alerts when vendors, systems, or processes show a drop or rise in their trust scores or when the trust score of a flow is lower than its peers in the same family. This information is crucial for supply chain decision-making.

Deliver the perfect order with the right price, quantity, timing, location, and cost, ensuring a superior customer experience.

Ensure perfect supply to the factory with the right price, quantity, timing, location, and cost, driving superior vendor performance, lower lead times, and lower inventory capital.

Achieve the highest levels of customer satisfaction in the drop-ship supply chain, despite vendor, inventory, logistics, and customer experience complexities.

The trust score indicates the trustworthiness and predictability of the supply chain. It identifies areas of improvement in the supply chain.

A higher trust score for people, systems, processes, and partners increases the likelihood of successful process completion.

Sharing the trust score allows the organization to quickly select the right people and steps to achieve a goal. This reduces time to market and improves the chance of better outcomes.