The growth of e-commerce continues to penetrate the market, especially given the COVID-19 restrictions. To adjust, people are finding new ways to shop. Shopping online for groceries at Wal-Mart, ordering food, or buying from Amazon now puts a customer’s wants just a click away. Who… Read More »Business Intelligence in E-Commerce
Amazon killed traditional retail, correct? It’s ingrained in American culture. I’m surprised it has not become a verb yet (I “Amazoned” it – terrible, for sure). While the ubiquitous nature of the e-commerce giant makes it seem like it has taken over most consumer sales,… Read More »Data Makes the Difference, Introduction
Decision optimization is selecting the best choice out of all possible solutions for a dilemma. Sometimes, the comparison of the plans is so straightforward that a manual pick of the best solution can be done within seconds. More often, a complicated mathematical model is required… Read More »How is Store Allocation Solved with a Single Click?
Unlocking new insights with a central, AI-managed research library Working with IBM Business Partner Absolutdata, the business used AI to make it possible to cross-reference and draw meaningful conclusions from its own critical market research as well as third-party reports by creating a unified report… Read More »Dairy, food and beverage manufacturer
With deeper insight into its sales data, customer product companies would be able to react more quickly to changes in the market – reducing risk and increasing profitability. For example, if you found a high number of returns of a certain product, you can quickly… Read More »How to Leverage IBM Business Analytics in the Consumer Goods Industry
Today’s business world poses a dynamic and risky environment for retailers. Consumers are exposed to an enormous amount of stimuli on a daily basis making it is easy to become overwhelmed with choices of products. In order to stay competitive, retailers should develop a store… Read More »How to Leverage Business Intelligence for Retail Industry
To drive growth and brand loyalty in this environment, consumer product companies need the ability to foster one-to-one engagement. Understanding what causes consumption and purchase behavior is key to maintain consumer relationships. Integrating data from multiple sources, and applying the appropriate analytics tools can help to better understand consumers.
Read More »Consumer Product Companies: How to Use Analytics Insights for Better Business Value
Today, consumers demand more from retail banks such as customized products, convenient service, and even rewards for being loyalty. In a recent banking industry report from McKinsey Company, they pointed out that “most banks have never created a close relationship with their retail customers and understand little of their actual needs.” Although maintaining relationships with customers is critical, and many banks aspire to do so, only few can actually deliver.
Read More »Predictive Analytics for Customer-Oriented Retail Banking
Did you know when you type “Predictive Customer Intelligence” in Google, the first page of Google results always start with IBM Predictive Customer Intelligence web pages. On the other hand, typing in “Predictive Analytics” into Google, IBM-related web pages hardly show up. Read More »4 Real-Life Predictive Customer Intelligence Examples
When people talk about Inventory Optimization (IO), there are probably many definitions behind it: it could mean reducing forecast error with better demand planning, or establishing better inventory target levels, or even improving daily inventory management. Over the past decade, the term has moved from a theoretical construct to a practical tool that improves corporate profitability.
Read More »Optimize Your Inventory with Business Analytics