Even if multiple companies sell the same product, customers are interested in familiar brand companies that they have encountered many times. Leave the budgeting ratio for each advertising platform to AI to minimize costs and maximize advertising effectiveness.
The key to supply and demand management is accurate sales forecasting. There shouldn't be too much inventory left behind, causing damage, or returning customers because they don't have enough products.
Irrational pricing policies are directly linked to the company's profit risk. The more diversified product distribution channels, the more important it is for companies to preempt competitive advantage through careful price management. By entering real-time data on inventory levels and competitors using a variety of AI models, you can determine the best price for a product based on the seasonal volatility and price elasticity of the product. This allows retailers to increase demand and maximize profits.
To retain recruitment and maintain a continuous management system, advanced planning is required, such as analyzing and utilizing employee information and performance from various angles. AI can assess employees (individuals' mindset and personality), and plan and create plans for areas needed for employee training, how to motivate them, when to reward them, and where they don't.
Resume and self-introduction are very important criteria when conducting management activities so that we can employ the right person for the job and show maximum ability. However, it is inefficient to check each of the dozens or hundreds of job applications, and filtering applications based on uniform evaluation criteria may result in missing talent hidden behind the scenes.
Recently, there have been many cases of applying IoT to building management. A lot of data collected through IoT, such as electricity usage, whether the lighting sensor is activated, whether the locking device is opened or closed, can help you use your space more efficiently and give new value to a space with low utilization.
By recommending products to customers, you can prevent customers from churning while doing customized marketing to customers who do not know what products they need. When customers are concerned about which products to purchase, recommending products can relieve them of worries, or if you can proactively identify and propose the products to customers they need, the seller can generate revenue, and the customer can make a reasonable and efficient shopping.
It is important to maintain a customer from a costly perspective rather than acquiring a new customer. If you can prevent churn by knowing in advance which of your existing customers are likely to churn, the effect can be greater than acquiring new customers. You can analyze customer attributes, behavior, engagement, and external factors to help predict the most likely customers to leave and prevent churn. Customer churn prevention can optimize corporate profitability. By predicting customer churn, financial services companies can increase customer satisfaction as well as increase customer lifetime value.
Every store must properly manage the supply and demand for inventory that varies slightly depending on weather, season, competition, etc. For example, a popular item may be out of stock and other items may not be in demand, leading to a drop in prices. In both cases, you will lose your hard-earned profits.
With AutoML + Consulting, you can request a professional consultant of DS2.ai to develop artificial intelligence.