Machine Learning Use Cases For the Retail Industry
As more businesses move online, innovation is critical in an increasingly competitive industry. Cortex is helping leading retail businesses navigate that transition with ML models that forecast inventory demand, understand their customers’ needs and make the most of their product and marketing spend with just a few clicks.
Common Cortex use cases:
- Predict customer purchase behavior
- Forecast long-term inventory demand
- Dynamically optimize product pricing
- Merge online and in-person customer experiences
- Automate and optimize next best offers
- Predict optimal time to engage customers
- Optimize marketing channels used to engage customers
- Forecast the lifetime value of any given customer
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