The Future of Analytics in Wholesale Distribution

In other words, decisions are made based on not only what has happened in the past, but also taking into account "what we aspire to"  and "what we believe is likely to occur." 

Analytics is rapidly advancing into the predictive realm--with potentially trans formative effects.   Predictive  analysis allows companies to model different outcomes and consider alternative trends and behaviors--all in the proper context.  In other words, decisions are made based on not only what has happened in the past, but also taking into account "what we aspire to"  and "what we believe is likely to occur."  This can greatly reduce risk and surface new opportunities by answering questions such as:

• Are we correctly targeting profitable an unprofitable customers?
• If customers are unprofitable, what options do we have?
• Do we have pricing, service, and profitability models for every customer segment?
• Are we able to accurately monitor and identify inefficient practices across our logistics network?

ACTION POINT:  Considering the questions above offers more certainty that distributors are making the right decisions, and it can help identify and mitigate risks before they occur.