Inventory
Inventory management is one of the biggest headaches business owners deal with. Learning to predict when to order, how much to order and when to restock is one of the most complicated parts of the job. At Supported Intelligence, we help you not only simplify this process, but master it with our innovative data analytics and proprietary modeling software.
Why We Are Different
Traditional methods and software for solving inventory management problems fall short of considering the many outcomes that may occur. With demand levels and market conditions continually changing, you need a dynamic approach to managing your inventory; you cannot rely on a simple linear method anymore.
Our innovative method natively accounts for multiple scenarios such as product value to consumer, time of year and costs to help you determine when you need to restock and how much new inventory to order. This method also accounts for the expenses associated with inventory management, including the costs of the inventory, shipping, and stocking your shelves.
Our Method
Our work begins with exploratory data analysis to understand the unique nature of your business and your customers. With then use the data to create an optimal inventory strategy that takes into account all of the variables affecting your business.
Exploratory Data Analysis
Gain insight into customer behavior over time, and throughout their buying decisions within a specific visit or purchasing event.
Customer and Product Segmentation
Group your customers and products based on their individual characteristics, and how they relate to other purchasing decisions. Consider also the likely future behavior of customers affected by inventory decisions at the current time.
Strategy Modeling Using the RR Technology
Using the customer and product segmentation, and the related behavior over time and across products, model the inventory management options available to your company, and focus on improving profits and value over time.