Significantly reduce costs through automatic identification of the key drivers of process inefficiencies
The problem for logistics managers
Over time, customer expectations continually increase, fuel costs increase, partner relationships change, and new regulations are imposed. With the landscape of business operation continuously evolving, logistics managers have a very hard time ensuring that operations are running efficiently — one small change can have a continued significant negative impact until noticed.
Inspirient’s automated analytics platform combines general anomaly detection to identify risks in logistics processes by detecting outliers in key performance indicators and then inferring the root cause of these instances using the Fraunhofer IAIS RuleCreator. The automatically inferred key drivers of process inefficiency are presented as understandable observations that business stakeholders can prioritize and act upon.
Scanning operational data for optimization opportunities can be performed with unprecedented agility and minimal risk because Inspirient’s solution automates parts of the analysis that would normally be performed by a human analyst, thus achieving faster and more comprehensive results than feasible manually.
The Inspirient Automated Analytics Engine automates the entire data analytics process end-to-end: From the assignment of input data, pattern and outlier detection, automated visualization of patterns, weak points and opportunities to automatic generation of textual explanations and recognition of the underlying relationships and rules. Most other analytics solutions rarely include these textual explanations and observations regarding the underlying data relations, which are both critical to provide a deeper level of analysis and more actionable conclusions.