Delivering Real-Time Data to Retailers with Delta Live Tables
Register for the Deliver Retail Insights webinar to learn more about how retailers are enabling real-time decisions with Delta Live Tables. The pandemic…
Enabling Computer Vision Applications With the Data Lakehouse
The potential for computer vision applications to transform retail and manufacturing operations, as explored in the blog Tackle Unseen Quality, Operations and Safety…
Tackle Unseen Quality, Operations and Safety Challenges With Lakehouse Enabled Computer Vision
Globally, out-of-stocks cost retailers an estimated $1T in lost sales. An estimated 20% of these losses are due to phantom inventory, the misreporting…
Real-time Point-of-Sale Analytics With a Data Lakehouse
Disruptions in the supply chain – from reduced product supply and diminished warehouse capacity – coupled with rapidly shifting consumer expectations for seamless
Improving On-Shelf Availability for Items With AI Out of Stock Modeling
This post was written in collaboration with Databricks partner Tredence. We thank Rich Williams, Vice President Data Engineering, and Morgan Seybert, Chief Business…
How to Build a Scalable Wide and Deep Product Recommender
Download the notebooks referenced throughout this article. I have a favorite coffee shop I’ve been visiting for years. When I walk in, the…
Jump Start Your Data Projects with Pre-Built Solution Accelerators
Deliver value faster. We hear this theme in nearly every executive discussion with customers. Data teams and data leaders need to deliver value in…
Machine Learning-based Item Matching for Retailers and Brands
Item matching is a core function in online marketplaces. To ensure an optimized customer experience, retailers compare new and updated product information against…
Building Forward-Looking Intelligence With External Data
This post was written in collaboration with the Foursquare data team. We thank co-author Javier Soliz, sales engineer specializing in data engineering and…
Fine-Grained Time Series Forecasting at Scale With Facebook Prophet and Apache Spark: Updated for Spark 3
Advances in time series forecasting are enabling retailers to generate more reliable demand forecasts. The challenge now is to produce these forecasts in…
