ANALYTICS WORKING HAND IN HAND WITH MANAGEMENT DECISIONS:
In corporation Alpha, there’s been a slowdown in orders from major customers for Product A, but not for a similar Product B. Market intelligence shows an increase in sales for a similar Product A at a competitor. In the last year Alpha raised the prices twice for both products, but kept the prices in line with the competition. However Product A sales declined following both price hikes, but not Product B.
Identify the Problem:
Why are sales declining for Product A but stable for Product B?
Review of the pricing decision showed management anticipated a rise in the price of a key commodity for both products. Although these increased costs did not occur, their imminent price rise continued to weight on managements pricing decisions of their products.
Management meeting about the slowdown in Product A revealed data concerning technical support calls for both products. Product A showed a sharper slowdown in support calls than Product B.
A contract was issued to a predictive analytic company to help figure out the dilemma. Within a week a forecast time series analysis confirmed the coming price increase in the important component commodity. Additionally a statistical comparison between the support calls for both products with sales data revealed a sweet spot for the number of support calls that correlated with increased sales. Also, support calls calculated to account for 26% of repeat sales.
Management maintained their price improvements and increased their targeted support calls for Product A. Within the quarter the sales declines ended and started their rebound.