Retail

The retail landscape is rapidly evolving, driven by omnichannel shopping behavior, dynamic competitive environment, and changing consumer product preferences. Pandemic related uncertainties have further complicated decision making due to the need to balance short-term priorities with long-term strategic imperatives.

The ability to provide personalized shopper experiences, develop responsive supply chains, and drive efficient assortment innovation are critical success factors in this environment. Decision science processes also need to evolve to enable rapid insight generation, hypothesis testing, and learning.

Effective use of data, DS/ML/AI algorithms, and technology that helps scale these solutions can help retailers generate more value.