Pharmacy

The work of a pharmacy network differs considerably from that of a normal retail sales outlet such as a grocery store. The reason is the specifics of drugs consumption: state control over the distribution margin, the shelf-life of the drugs, and the sale of prescription drugs and availability of interchangeable preparations. Pharmacy networks usually consist of relatively small retail outlets with a wide product range. In addition, a considerable part of the profit comes not from drugs, but from accompanying goods, the so-called parapharmacy.

The tools implemented in Loginom allow the challenges faced by pharmacy networks to be addressed, and take into account the specifics of handling their merchandise:

• Data consolidation. Having data distributed among a large number of pharmacies and stored in many local record-keeping systems prevents users from performing a good analysis and seeing the overall picture. Using the data warehouse built into Loginom, it is possible to consolidate information from various sources, see the overall picture, and make well-reasoned decisions.
• Analytics. The OLAP analysis mechanisms built into Loginom make it possible to quickly obtain the necessary reports from the prepared data storage sliced by any parameter, rate the work of the pharmacies, and analyze expiration dates and the work of suppliers.
• Trade stock optimization. Thanks to the forecasting algorithms available in Loginom, users can forecast demand taking into account substitute products, seasonality, morbidity surges and medication expiration dates. This information serves as the basis for resolving problems of trade stock management, turnover increase and defect reduction.
• Assortment matrix construction. The system allows the user to select suppliers to construct an optimal assortment matrix based on objective information about delivery time and terms, quality of service, range of goods, merchandise availability at the supplier’s warehouse and price movement frequency.

Fast developing pharmacy networks operating in a severe competitive environment face many other analytical challenges which can be handled using the Loginom platform. For example, expenditure optimization, competitive environment analysis, client base segmentation, demand promotion, cross sales, and pricing policy optimization.