.png){kind=small}
For each product, the sales trend is computed as well as the sales weekly, monthly and yearly seasonality and special events
The forecast is made using previously fitted components and projecting them into the future
The forecast integrates each store’s share of sales in the item’s category to get a store per store prediction
Get live report on each campaign performances
Behavior-based dynamic segmentation customer history & promotional history personalization & campaign management
Customer Database alignment with merchandise hierarchy automate complex calculations without the need for BI management of the profitability of each campaign
Data & Insights sharing with Merchandise teams performance management by channel and stores ML Forecasting model to secure choice
Customers today expect personalized experiences. When you track and analyze their purchasing behavior, you can tailor your marketing messages, product recommendations, and promotions to their specific preferences and needs. This personalization can significantly improve customer satisfaction and loyalty.
Recognizing changes in purchasing behavior can help you identify signs of customer churn or dissatisfaction early on. For instance, if a once-frequent customer starts making fewer purchases, or drops in her shopping frequency, it may indicate a problem or dissatisfaction that needs to be addressed promptly. Reacting to such changes can help you retain valuable customers.
Understanding customer behavior can also help you identify opportunities for upselling and cross-selling. If you notice a customer consistently buying a particular product or a category, you can suggest complementary or higher-value items, increasing the average transaction value.
Analyzing purchasing behavior can help with inventory management. You can better predict demand (see Ariane’s Machine Learning Forecast Engine) , reduce stockouts, and avoid overstocking by having a clearer understanding of what customers are likely to purchase in the future.
By tracking changes in behavior, you can allocate marketing resources more efficiently. Instead of sending generic messages to all customers, you can focus your efforts on those who are more likely to respond positively to your promotions or offers.
%20Create%20Alert%20-%201%20Alert%20Details.png)
.svg)
.svg)
