Heimdall

Use Case 1: Predictive Sales Analysis

Problem: Small businesses often lack the budget for a data science team to predict future sales trends or customer behavior.
Solution: Heimdall ML allows users to build regression or classification models using historical sales data without writing code.
Example: A retail startup uploads a CSV of past transactions to identify which customer segments are most likely to make a repeat purchase.

Use Case 2: Inventory and Demand Forecasting

Problem: Operational managers struggle with overstocking or stockouts due to inaccurate demand predictions.
Solution: Heimdall Forecast provides no-code time series analysis to predict future business needs and optimize operations.
Example: A manufacturing company uses existing database records to forecast raw material requirements for the upcoming quarter.

Use Case 3: Automated Content Classification

Problem: Organizations dealing with high volumes of text and images find it difficult to transform unstructured data into usable insights.
Solution: The Forge automates the data processing pipeline, creating feature vectors from unstructured assets for classification.
Example: A media company processes thousands of user-uploaded images to automatically generate labels and categorize content for their database.