To thrive in an over saturated industry, grocery giants had always been investing a lot more into price optimization for generating the right pricing perception to convince their customers. The latest advancements in technology coupled with the 360 degree shift in customer behavior is a wake-up call for the grocers to clean break the dry run with their legacy pricing approaches to embrace Artificial Intelligence for pricing and performance measures. But how precisely can the grocery chains leverage Artificial Intelligence to make pricing optimization more convenient and quick to hold up and succeed?

Grocery is facing a new truth in 2020: an exponential growth in digital food shopping that has gone well beyond the pre-pandemic predictions. While other retail segments have made significant progress, grocers will need to transform to this digital reality now or risk losing out to their competitors. Many areas of the business therefore need enhancements to support online and make the end-to-end fulfillment processes efficient.

The VUCA world we live in today is perhaps all the more fraught because of the pandemic, and now more than ever, we understand that businesses can indeed change overnight. This is true especially in the area of global trade, where different regulations exist for different nations and the interpretation of data varying as we move from one nation to the other.

The very first step to solving a problem is to understand it. Every organization is different, and the executives have certain expectations for their return on investment on an SAP S/4 program. More often than not, the executives have prioritized the benefits, determined the cultural impact, and have a strong opinion on which processes are untouchable and which can be optimized. However, this vision tends to get diluted as you get deeper into the organization.

We know that Zero bug development is a myth that should be dispensed, yet the answer to any troublesome inquiry that a QA should discover responses regarding the product testing is, “what testing system ought to follow for a bug free yield?” Testing is not restricted to the end of a development process but is done on an on-going basis and overlaps with design activities throughout the product development.

The article master contains information on all the articles that a company procures or produces, stores, and sells. It is the company's central source for retrieving article-specific data. This information is stored in individual article master records. In retail, articles are the equivalent to the material master in the standard. Let us see the technical part of how to create an Article using ARTMAS09 IDOC which will be helpful for the Data Migration team to migrate the articles to S4.

COVID-19 is disrupting everything this year including how the customers are shopping Christmas presents for their dear ones. The uncertainty that the pandemic raised has broadened consumers’ desire for choice and has brought about abrupt changes in their behavior. Hence to win the changing behavior and needs of customers, companies need to transform and innovate the in-store operations and provide a superior branded experience across channels.