DATA ANALYSIS AND AI METHODS
Segment Pricing Infrastructure for
Predefined Potential Customers
The process of creating and managing specific pricing structures based on segments (e.g., Istanbul-Frankfurt) for particular customers or customer groups.
Segment – Product – Customer – Price Management
Managing and optimizing the relationships between customer segments, products, and prices.
Marketplace Search Log Analysis
Analyzing users’ search histories on the marketplace platform to identify trends and behaviors.
Customer Price and Activity
Notifications
Sending notifications to customers about price changes and activities.
Customer Segmentation Study
Grouping customers based on specific characteristics and developing tailored strategies for these groups. For example, new customer cross-selling, existing customer-BAU.
Order Forecasting
(Artificial Intelligence)
Using artificial intelligence to predict future customer and orders.
Data Warehouse Reporting and
Analysis
Utilizing data warehouses for reporting and analyzing large datasets.
Dolandırıcılık Algılama (Fraud detection)
For Exaggerated Invoices and Invoices from
Suppliers WhoseService Has Not
Been Received (Artificial Intelligence)
Detecting exaggerated invoices and invoices from suppliers not providing services using artificial intelligence.
Unbilled Invoice Detection
(Artificial Intelligence)
Identifying unbilled or missing invoices using artificial intelligence.
Automation Assistant (Artificial Intelligence)
Detecting files that require manual intervention by an operations representative using AI.
Approval Assistant (Artificial Intelligence)
Determining whether a file should be sent for approval during the approval process using AI.
Creating Price and Product
Configurations for Potential
Customers Before Signup
Preparing price and product options for potential customers based on specific criteria before they sign up on the platform. Creating price and product options for each potential customer based on the analysis results.
Data Generation for ActivityWizard
Creating and analyzing data to determine which customers should be contacted through which channel and at what frequency, and planning these activities for the sales and call center teams.