Challenges While the utility of the report was substantially high, so was the dependency on people. There were a few areas of improvement required, such as: • The entire Materials Buying function had to work out the critical parts manually • Mapping against the production sequence, knowing parts required, stocks, on-hand inventory, Transit Status (ASN), and supplier schedules required a lot of analytics • The sequence and demand continued to fluctuate and, therefore, critical parts analytics would be required on an every day basis • One dedicated senior analyst required consolidation of inputs of buyers and preparation for meetings/review with leadership • Delayed inputs to leadership negatively impacted the reporting and subsequent decision making process Scope for improvement was for enhancing the speed, reliability, and accuracy of this crucial input. Further, the thought leaders of the organization needed: • Digitally intelligent solutions for increasing productivity by reducing analysis paralysis and tremendously increasing the speed of response • Actionable & automated insights, rather than finding such insights from an overload of information • Build scalability with growing market demand www.conversight.ai 2