Genaue Bedarfsprognose: Der heilige Gral der Supply Chain wird greifbar
Eine Nachfrageprognose im Handel erfordert differenzierte und innovative Strategien, um die immer höheren Kundenanforderungen zu erfüllen und gleichzeitig die Bestände zu minimieren. Gestalten Sie Ihre Supply Chain und insbesondere die Bestandsplanung so um, dass sie nachfrageorientiert, flexibel und widerstandsfähig ist und steigern Sie gleichzeitig Ihren Umsatz um bis zu 40%.
Modern-day challenges associated with inefficiency or general inadequacy in inventory planning are too often related to stock shortages leading to the inability to satisfy customer demand.
Such Stock Outs can majorly disadvantage your company by causing lost sales and damaging customer loyalty. Recovering from such situations proves to be costly, time and effort-intensive. Furthermore, your short- and long-term planning can be obstructed, and capacities are consequently used inadequately and hence hinder your overall efficiency.
However, too much stock can also decrease profitability and prohibit growth. One risks creating and paying for wasted goods and eroding margin. Capital is utilized inefficiently, hence opportunities are lost.
There are a multitude of ways to approach challenges resulting from inaccurate, inefficient inventory planning and forecasting. To guarantee immediate success with clear strategies, you should focus on deploying adequate inventory by optimizing the two key levers in inventory management.
- First, working stock needs to be optimized for covering predictable demand.
- Second, a suitable safety stock needs to be created that is able to absorb demand variability.
Considering those two responses, success is guaranteed if they are approached and implemented correctly.
The basis for the two response strategies evidently lies in anticipating customer demand. You can achieve such predictions accurately while being cost-effective by maximizing the value of your data. The key here is the application of retail sciences that draw from machine learning, artificial intelligence and decision science disciplines.
For that reason, aXialyze draws on Machine Learning-based Forecasting and Inventory Optimization that allows you to know the optimal stock level for each SKU. Thus you will always be confident to stock the products your customers really want.
Unlocking the value of these innovative tools creates a new capability to combine flexibility with accuracy. Through a higher readiness to deliver you are able to react more flexibly to changes in customer demand while decreasing your safety stocks. Hence your business will accelerate as it can now consequently align with the customer needs while achieving significant overall inventory reduction.