Fraud Detection can save money on disputes and charge backs, and machine learning models can be trained to flag transactions that appear fraudulent based on certain characteristics.
CLV can be used to identify significant customer segments that are most valuable. It can be used to align marketing programs with financial objectives and targets.
Product Recommendation are based on past purchases, browsing history, and any other behavioral information about consumers.
Customer Segmentation based on behavioral data helps in targeted marketing proactively engaging dissatisfied customers to minimize churn rate.
Image Search use Vision API and AutoML Vision to make images searchable across broad topics and scenes, including custom categories.
Vision Product Search find products of interest within images and visually search product catalogs using Vision API.
Industrial Inspection automate the quality control process in manufacturing by enabling edge devices to identify defects.
Document Classification access information efficiently by using the Vision and Natural Language APIs to classify, extract, and enrich documents.
Data Mining algorithms can identify similarities and differences among customers, helping businesses create targeted marketing campaigns, optimize product offerings, and enhance customer satisfaction.
Historic Reports empower businesses by identifying patterns and trends over time, which can provide valuable insights for decision-making and strategic planning.
Trend Analysis for customer behavior helps businesses improve customer satisfaction, optimize their product inventory, and enhance their overall sales performance.
Period Comparison enables organizations to gain a comprehensive understanding of their financial performance, make informed decisions based on historical trends, and continuously optimize their strategies for sustained success.