
3 Tips for Reducing Inventory in the Thick of High Inflation
Inflation and price increases have been steadily rising due to the War in Ukraine, labor cost increases, international supply chains problems, and a host of
Accurately predict demand and plan for the future to improve sales and increase customer satisfaction.
Demand planning is a supply chain management process of predicting or estimating how much inventory your customers will buy from you to help businesses meet customer demand for products while minimizing excess inventory. It involves creating a demand plan based on a statistical forecast that takes into consideration many factors that can influence demand – such as inventory levels, marketing strategies, buying trends, etc – and then details where to distribute the products in order to meet the anticipated demand.
The goal of demand planning is to maintain the right amount of inventory to meet customer demand without incurring shortages or wasting capital on producing and storing surplus inventory. ConverSight.ai makes access to real-time data increasingly available, improving forecast accuracy and demand planning immensely. Built-in collaboration tools help planners react faster to changes that occur in supply and demand.
Demand planning increases efficiencies in producing and delivering product to the customer’s satisfaction while optimizing the balance between market opportunity and supply network capability. ConverSight.ai strikes that perfect balance to meet customer demand without incurring shortages or wasting capital on producing and storing surplus inventory.
Inflation and price increases have been steadily rising due to the War in Ukraine, labor cost increases, international supply chains problems, and a host of
Businesses collect mass amounts of data from different data sources, with different data storing mechanisms, processes and teams to manage. According to recent research, 80%
The first edition in our series on implementing AI into your business focuses on adopting cloud storage and computing technologies, and the potential the cloud
React quickly to changes in demand
Plan around product seasonality
Maintain accurate inventory levels
Identify popular product combinations
Predict products customers want
Increase overall customer satisfaction
Understand consumer behavior
Increase sales
Remove non-moving inventory
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Contextual decision intelligence for
supply chain optimization.
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