Creating Brand-Aligned Images Using Generative AI
Image-generating technologies offer significant benefits for retail and consumer goods companies. By using generative models that produce both stylized and photo-realistic images from...
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Unlock deeper marketing insights with Hightouch Campaign Intelligence and Databricks
Next-generation customer experiences are built upon data and insights derived from various touchpoints. Through these, marketers can detect subtle differences in customer needs...
Scaling Product Copy Creation with Generative AI
On ecommerce platforms, a good product description can make an item stand out and drive sales. A good product description should not only...
Building an AI-Ready Retail Organization with Improved Data Governance
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...
Common Sense Product Recommendations using Large Language Models
Check out our LLM Solution Accelerators for Retail for more details and to download the notebooks. Product recommendations are a core feature of...
Introducing Redkite’s Pricing Analytics Solution Powered by Databricks
Pricing plays a crucial role in the success of any (consumer packaged goods) CPG organization. Beyond covering the basic costs of development, manufacturing...
How Crisp and Databricks Enable Retail-Supplier Collaboration through Shared Sales and Inventory Data
Retailers have long shared sales and inventory data with their suppliers. Combined access to this information enables the two parties to assess consumer...
A Pattern for the Lightweight Deployment of Distributed XGBoost and LightGBM Models
A common challenge data scientists encounter when developing machine learning solutions is training a model on a dataset that is too large to...
Using Images and Metadata for Product Fuzzy Matching with Zingg
Product matching is an essential function in many retail and consumer goods organizations. Incoming products are compared to items in the existing product...
How Edmunds builds a blueprint for generative AI
This blog post is in collaboration with Greg Rokita, AVP of Technology at Edmunds . Long envisioned as a key milestone in computing...
Retail Personalization with RFM Segmentation and the Composable CDP
Check out our Solution Accelerator for RFM Segmentation for more details and to download the notebooks . For retail brands, effective customer engagement...
Automated Analysis of Product Reviews Using Large Language Models (LLMs)
Check out our LLM Solution Accelerators for Retail for more details and to download the notebooks. While conversational AI has garnered a lot...
How ActionIQ Integrates with Databricks Lakehouse Part Two: Step-by-Step Workflow to Activate Propensity Modeling
In our previous blog post , we discussed how ActionIQ partners with Databricks to address the key challenge organizations face in achieving their...
How ActionIQ Integrates with the Databricks Lakehouse Part One: Enable Personalization Without Data Replication
The Personalization Paradigm: Balancing Business Self-Service and Data Governance Personalization transforms businesses, shaping and reshaping the way brands connect with their audiences. Its...
Managing Complex Propensity Scoring Scenarios with Databricks
Check our Solution Accelerator for Propensity Scoring for more details and to download the notebooks. Consumers increasingly expect to be engaged in a...
Estimating Customer Lifetime Value on the Lakehouse
In Driving Digital Strategy , Dr. Sunil Gupta points out that “20% percent of your customers account for 200% of your profits.” The...
Complete Personalization, Complete Control: The Composable CDP
In a crowded retail marketplace, organizations increasingly compete for consumer time, attention and spend. Gone are the days where broadstroke advertisements and bulk...
Driving a Large Language Model Revolution in Customer Service and Support
Want to build your own LLM-enabled bot? Download our end-to-end solution accelerator here . Download notebook Business leaders are universally excited for the...
Enhancing Product Search with Large Language Models (LLMs)
The text generation capabilities of ChatGPT, Dolly and the like are truly impressive and are rightfully recognized as major steps forward in the...
Retail in the Age of Generative AI
What is generative AI? Large Language Models (LLMs) such as ChatGPT have garnered a ton of attention lately along with the broader topic...
Enabling the Customer Data Platform with Databricks ETL Support
Customer Data Platforms (CDPs) play an increasingly important role in the enterprise marketing landscape. By bringing together data from a wide variety of...
Using Real-Time Propensity Estimation to Drive Online Sales
Accelerated adoption of online services creates an opportunity for retail organizations to drive growth. While the sudden spike in online sales seen in...
Enhancing the Amperity CDP with Personalized Product Recommendations
Personalization provides organizations a means to more directly connect with customers' needs and preferences. In a crowded retail landscape, such targeted engagement is...
Products We Think You Might Like: Generating Personalized Recommendations Using Matrix Factorization
Check our Solution Accelerator for Matrix Factorization for more details and to download the notebooks. Recommenders are a critical part of the modern...
Intermittent Demand Forecasting With Nixtla on Databricks
This is a collaborative post from Nixtla and Databricks. We thank Max Mergenthaler Canseco, CEO and Co-founder, and Federico Garza Ramírez, CTO and...
There’s No AI in Pumpkin Pie, But There Should Be: Delivering Novel Application Experiences Using ML & AI
The holiday season is upon us and with it, all the rich and delicious foods that warm our bodies and challenge our waistlines...
Fine Grained Forecasting With R
Demand forecasting is foundational to most organizations' planning functions. By anticipating consumer demand for goods and services, activities across marketing and up and...
Part Level Demand Forecasting at Scale
Check out our Part Level Demand Forecasting Accelerator for more details and to download the notebooks. Demand forecasting is a critical business process...
Solution Accelerator: Scalable Route Generation With Databricks and OSRM
Check our new Scalable Route Generation Solution Accelerator for more details and to download the notebooks. Delivery has become an integral part of...
Optimizing Order Picking to Increase Omnichannel Profitability with Databricks
Check our new Order Picking Optimization Solution Accelerator for more details and to download the notebooks. Demand for buy-online pickup in-store (BOPIS), curbside...
New Solution Accelerator: Customer Entity Resolution
Check our new Customer Entity Resolution Solution Accelerator for more details and to download the notebooks. A growing number of customers now expect...
Getting Started with Personalization through Propensity Scoring
Consumers increasingly expect to be engaged in a personalized manner. Whether it's an email message promoting products to complement a recent purchase, an...
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
Read Rise of the Data Lakehouse to explore why lakehouses are the data architecture of the future with the father of the data...
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...
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...
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...
Segmentation in the Age of Personalization
Quick link to notebooks referenced through this post. Personalization is heralded as the gold standard of customer engagement. Organizations successfully personalizing their digital...
Personalizing the Customer Experience with Recommendations
Go directly to the Recommendation notebooks referenced throughout this post . Retail made a giant leap forward in the adoption of e-commerce in...
Profit-Driven Retention Management with Machine Learning
Companies with the highest loyalty ratings and retention rates grew revenues 250% faster than their industry peers and delivered two to five times...
On Demand Virtual Workshop: Predicting Churn to Improve Customer Retention
The proliferation of subscription models has increased across industries: from direct-to-consumer brands for shaving supplies and prepared meals to streaming media services, at-home...
Analyzing Customer Attrition in Subscription Models
Download the notebooks to demo the solution covered below The subscription model is experiencing a renaissance. Gone are the days of the penny...
Customer Lifetime Value Part 2: Estimating Future Spend
Check out the notebook referred throughout the blog and watch the on-demand virtual workshop to learn more. You can also go to Part...
On-Demand Virtual Session: Customer Lifetime Value
Before you can provide personalized services and offers to your customers, you need to know who they are. In this virtual workshop, retail...
Customer Lifetime Value Part 1: Estimating Customer Lifetimes
Download the Customer Lifetimes Part 1 notebook to demo the solution covered below, and watch the on-demand virtual workshop to learn more. You...
How a Fresh Approach to Safety Stock Analysis Can Optimize Inventory
Check out the solution accelerator for the accompanying notebook A manufacturer is working on an order for a customer only to find that...
New Methods for Improving Supply Chain Demand Forecasting
Quick link to notebooks referenced through this post. Organizations Are Rapidly Embracing Fine-Grained Demand Forecasting Retailers and Consumer Goods manufacturers are increasingly seeking...
On-Demand Webinar: Granular Demand Forecasting At Scale
We recently hosted a live webinar — How Starbucks Forecasts Demand at Scale with Facebook Prophet and Databricks — During this webinar we...
Fine-Grained Time Series Forecasting At Scale With Facebook Prophet And Apache Spark
Try this time series forecasting notebook in our Solution Accelerator for Demand Forecasting . Advances in time series forecasting are enabling retailers to...