How we can help

Increase sales with Analytics

Our client needed answers. The first quarter revenue increased year over year. However, the first quarter revenue was below target and the market share was down year over year. Our client needed to stop the downward trend on market share.

NEI developed an algorithm to model the revenue cycle. The model allowed our client to predict the outcome using different scenarios. NEI reviewed the clients data which included assumptions used from the previous year for planning the targets for the current year and the clients existing business data. Using this insight gained from the analysis completed by NEI, the client was able to identify and execute the actions required to get the desired revenue and market share outcome.

Marketing Program Modeling

Our client wanted to implement a marketing program to boost sales and increase customer loyalty. The client's marketing team developed a program concept with tiered pricing based on the sales volume of their customers. Before green lighting the program, the Executive Vice President of Marketing wanted an impact analysis with cost and sales projections.

NEI developed an algorithm to model the program concept. The model allowed our client to test multiple scenarios. The impact analysis created by NEI helped our client identify products that should be excluded from the program and helped our client decide to restructure the tiered pricing. In addition to implementing the pre-launch modeling, NEI identified key metrics to measure the program and created reports to evaluate the metrics.

Optimizing resources using BUsiness Intelligence

Our client was receiving complaints about their service levels. The responsiveness of the group was under scrutiny and there were claims of lost revenue due to the slow response.
NEI developed an algorithm to model the performance of the group. The model allowed our client to identify the quantity and types of requests that stress the organization. Armed with this new business intelligence our client was able to allocate existing resources more efficiently to improve responsiveness, minimize complaints and maximize revenue.