Numbers speak for themselves. Below are a few examples of how Datarithm has helped companies realize and maintain optimum stock levels and reduces loss from non-moving inventory.
In recent months, Datarithm has performed forecasting analyses for a variety of prospective clients, including several national pharmacy chains.
The results of these analyses, in many cases, have been remarkable. With these specific clients, Datarithm has identified potential reductions of prescription drug inventories ranging from 21% to 45% with simultaneous improvement in service levels.
A review for one chain uncovered an apparent anomaly that showed unusually high values of prescription drug inventory. Datarithm worked with the chain’s management to suggest a simple change in its replenishment process. This showed the opportunity to reduce inventory across locations and potentially cut costs associated with excess inventory by $62 million. This review was conducted as a precursor for analyzing the chain’s data for the purpose of inventory forecasting
A complimentary forecasting analysis for the same chain revealed an additional inventory reduction opportunity that could potentially reduce costs across all locations by a total of approximately $35 million. For this chain, Datarithm projected that the elimination of overstocked positions could be accomplished with a simultaneous increase in customer service levels and elevated inventory turns.
Datarithm continues to demonstrate its “Best in Breed” position for demand forecasting in the pharmacy industry. Its leading technology and logic combine detailed pharmacy data with a variety of complex algorithms to provide substantial financial and operational efficiencies.
Datarithm … Inventory Controlled.
Schwieterman’s Pharmacies recouped over $7,000 per store in the first two months by transferring overstocks to hot dispensing locations. That recoupment from inventory transfer alone was double the total cost of the system for a 36 month agreement.
Installation and implementation at NuCara was accomplished in less than 30 days and the benefits began immediately. Being in the cloud, activity and reporting was easy for corporate to monitor and manage store activity. As inter-store activity increased, they recouped enough to pay for the system in a few months and the rest went right to the bottom line.
![Datarithm [Inventory Controlled]](http://50.19.82.33/wp-content/uploads/2011/06/datarithm-logo.png){kind=logo}
