
Bryan Smith
Articles
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Jul 26, 2024 |
databricks.com | Nate Wardwell |Sam Sawyer |Bryan Smith |Ryuta Yoshimatsu
IntroductionTime series forecasting serves as the foundation for inventory and demand management in most enterprises. Using data from past periods along with anticipated conditions, businesses can predict revenues and units sold, allowing them to allocate resources to meet expected demand.
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Mar 20, 2024 |
databricks.com | Sam Sawyer |Bryan Smith |Andrew Ferguson |Nate Wardwell
Next-generation customer experiences are built upon data and insights derived from various touchpoints. Through these, marketers can detect subtle differences in customer needs and preferences and craft personalized engagements that drive additional value for both the customer and the business. But doing so requires careful thought, planning, and execution, and even the best-laid plans don't guarantee success.
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Mar 15, 2024 |
databricks.com | Tristen Wentling |Bryan Smith |Avinash Sooriyarchchi |Sam Sawyer
On ecommerce platforms, a good product description can make an item stand out and drive sales. A good product description should not only be accurate, easy-to-read and connect with the needs of the customer, but should reinforce the image of the brand or retailer site. Within many organizations, small teams of writers labor over the development of these descriptions, also known as product copy.
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Mar 14, 2024 |
databricks.com | Sam Sawyer |Bryan Smith |Ari Kaplan |Pearl Ubaru
Artificial Intelligence is top-of-mind with every C-suite in Retail & Consumer Goods. Companies see the potential to deliver better customer service, derive faster and more accurate insights, and drive better innovation and collaboration with partners. Billions of dollars are stake. Less mentioned is the data that is required to power these new AI systems. In addition to legacy reporting data, these AI systems consume presentations, documents, emails, customer service transcripts, images and more.
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Mar 5, 2024 |
databricks.com | Sam Sawyer |Colton Peltier |Bryan Smith |Avinash Sooriyarchchi
Check out our LLM Solution Accelerators for Retail for more details and to download the notebooks. Product recommendations are a core feature of the modern customer experience. When users return to a site with which they have previously interacted, they expect to be greeted by recommendations related to those prior interactions that help pickup where they left off.
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