
We, at Oodles, as an Artificial Intelligence Development Company, explore how predictive analytics in retail will propel ROIs with in-depth insights.
Predictive analytics services in retail solve 3 critical challenges-
a) Efficient Assortment Planning
Machine learning algorithms surpass human intelligence in increasing the ROI on inventory investment by making precise recommendations of assortment volume, options, sizes, and more.
Learn more: Predictive Analytics in Retail




Long before big data became cool in technology conversations, a baseball team manager and a Harvard Economics graduate applied Big Data analytics to baseball to create sporting history.
The concept was made popular by the movie, Moneyball, which recounts the compelling tale of the resurgence of the cash-strapped Oakland A’s which had just lost its star players to free agency.
Billy Beane, the then General Manager for the A’s, and Paul DePodesta, the Assistant General Manager, began analyzing baseball statistics to value and purchase players, which led to the team winning 20 consecutive games between August and September 2002.
Data-driven decision-making is now commonplace across key business functions including marketing, information technology, finance, and supply chain.
https://is.gd/NBPmt3 However, over the past few years, factors such as digital disruption, increased competition for talent, and changing workforce models have compelled HR leaders to embrace evidence-based decisions that can be linked to key business objectives.
Specific insights on what to expect in the future is a tremendous competitive advantage for organizations, and HR can leverage this technology to transform the business impact of the function drastically.


