How does the Occubee platform help retailers?
Modern technologies for data collection and processing ensure automation of key business processes in the retail industry
and full usage of information carried by the data.
When analyzing data no investment in additional equipment in points of sales or in the machinery stock is required.
5% to 7%
increase in sales by minimizing out-of-stocks
3% to 7%
decrease in losses by reducing overstocks
30% to 50%
reduction of average out-of-stocks in stores
2 to 3 months
short time implementation process
At relatively low outlays, you can quickly obtain real business benefits, which will have a concrete impact on building a competitive advantage.
New look at retail
Occubee fully responds to the needs of modern retail and fits in with the global megatrends
related to the use of data in business.
|OLD-FASHIONED APPROACH||MODERN APPROACH WITH OCCUBEE|
|FORECASTS BASED ON INTUITION |
Lack of tools for sales and demand forecasting, making business decisions dependent on historical reports only.
|FORECASTS BASED ON ADVANCED ALGORITHMS |
Advanced algorithms based on Artificial Intelligence generating dedicated sales forecasts for specific products for separate stores and demand forecasts for specific product groups for the purpose of ensuring optimal inventory levels.
|MANUAL ANALYSIS |
Preparation of time-consuming analysis with previously collected data from various sources, often based on MS Excel. Manual modifications and data updates.
|AUTOMATIC ANALYZES |
Use of Artificial Intelligence enables analysis of large datasets in real-time.
|MANUAL GENERATION OF ORDERS|
Manual generation of orders for suppliers and store replenishment.
|AUTOMATIC GENERATION OF ORDERS |
Automatic generation of orders for suppliers and store replenishment.
|MANUAL ALRETNATION OF ORDERS AND STORE REPLENISHMENT |
Daily, manual alternation of orders and store replenishment in order to adjust the quantity of available goods to the current sales dynamics.
|AUTOMATIC GENERATION OF ORDERS AND REPLENISHMENT COMMANDS |
Automatic alternation of orders and store replenishment in order to adjust the quantity of available goods to the current sales dynamics.
|DATA SILOS |
Data dispersion in various departments and various IT systems makes it difficult to holistically analyze and extract valuable business information.
|HOLISTIC ANALYSIS OF DATA|
Cross-departmental approach to data collection, process and management enables collection and analysis of data from entire enterprise.
Inability to respond just-in-time to changes in demand and supply to meet unforeseen business situations.
Anomaly detection and real-time reporting to avoid out-of-stocks by just-in-time response for a given product-store pair.
A platform dedicated to the retail industry, taking into account its specificity and requirements.
Advanced analytics based on Machine Learning and Data Science requires no expertise or involvement from the client.
Holistic Analisis of Data
Cross-departmental approach to data analysis.