Dataiku

JANUARY 4, 2022

So, before we jump into markdown optimization and why it’s important for retailers, let’s discuss traveling (bear with us, we have a point). If your friend wants to visit Thailand for 10 days, she would probably be faced with some difficulty figuring out where exactly to stay, as evidenced by the myriad of options below.

Optimization 59

Optimization Sales 59

Dataiku

FEBRUARY 23, 2022

In this blog series, we’re going to break up their main topics (data drift and anomaly detection, learning with small data, retail markdown optimization, and uplift modeling and causal inference) so they’re digestible and accessible as you aim to shift from theory to practice with your ML initiatives in 2022 and beyond.

Data Science 59

Data Science Machine Learning Optimization Modeling 59

Dataiku

MARCH 2, 2022

We have already tackled model changes, data, drift, and anomaly detection as well as learning with small data , so up next is a summary of retail markdown optimization and uplift modeling.

Optimization 59

Optimization Data Science Modeling Data Processing 59

IBM Big Data Hub

JUNE 30, 2023

Today’s consumers want to know that retailers and brands are aligned with their values. So, while retailers can—and must—use technology as their differentiator, to win the lion’s share of consumer hearts, retail leaders must deliver on promises and purpose. Checking all these boxes is no small feat.

Consulting 66

Consulting Advertising Optimization Data-driven 66

IBM Big Data Hub

MARCH 8, 2024

Some forecasts suggest online retail might be responsible for half of all retail revenues by next year. In what McKinsey refers to as “the e-commerce catch-22,” many retailers with significant growth in ecommerce sales through 2020 and 2021 saw their margins decline.

Consulting 89

Consulting Marketing Sales Data Processing 89

Cloudera

SEPTEMBER 11, 2020

The ongoing disruption to critical supply chains in both the manufacturing and retail space has seen businesses having to respond quickly, turning to data, analytics, and new technologies to better predict and manage ‘real-time’ business disruptions. . Brent Biddulph: . Data and analytics.

Manufacturing 89

Manufacturing Forecasting Digital Transformation Sales 89