What are the common concerns shared by COO, CFO, CEO, CMO, CRO, and CIO?

As inflation going double digits, geopolitical risk is high, supply chain is uncertain, and CB turns hawkish on the economy, businesses need to understand how such macroeconomics is affecting their long-term strategy and operation. This is especially important to retailers. In this case study, we share two logical analyses performed by ELAINE that took seconds to produce using Symbolic Logic.

In Feb 2020, Macy's announced a three-year Polaris strategy to stabilize profitability and position the company for growth. Its Polaris Strategy was focusing in restructuring the business across four major topics, i.e., company, strategy, growth, brands. A lot has to do with cost savings that aimed to improve performance that would result in growth. This strategy helped Macy's to save the day during the Pandemic.

In its latest earnings call, its current operation reflected key objectives in digital, growth, and inventory. By digital, it is looking to achieve growth, fulfillment and margin through strategic deployment of data science.

Data science has been a wild card. Companies in online fashion space, online real estates space, or supply chain have tried but to no avail. It is not the science that is wrong, but the reliance on historical data in a fast evolving world that make statistics less relevant.

In executing a strategy, it is critical to take quality feedback and make assessments with declarative knowledge in mind. Declarative knowledge describes the relationship between subjects. Doing it manually is unattainable. ELAINE automates the process, transforms unstructured narrative into a report of structured declarative knowledge. For example, during Macys earnings call, it talked about different area where data science is applied. ELAINE took the unstructured information and presented it in a hierarchical structure for easy cognition: