Demand Forecasting

In this edited webinar transcript, RIS and Treasure Data touch on the results of the 2023 RIS and CGT report, 'The Analytics Advantage,’ using some stats and findings as a jumping-off point into a broader conversation about channeling data into creating exceptional customer experiences.

Brands of all sizes are involved in some level of joint business planning with their retailer partners — the bigger the brand, the higher the stakes are at the meeting. But, each brand is given a chance to make a case for their items, swing shelf space in their favor, collaborate on promotions, introduce new product launches and more. In a way, joint business planning is the lifeblood of a brand’s success at a retailer. So why not do it backed by precise, predictive and high-powered data?

While not new, IoT carries great potential to unlock further value for AI in the supply chain, and it’s on the radar for many leaders.

In Unpacked, CGT's new series of Tech Explainers, we break down AI in the supply chain, including its benefits and drawbacks, and where today's leading experts see the future potential. 

Artificial intelligence can impact every link in the supply chain thanks to its ability to optimize data collection to increase visibility into operations, quicken decision making to proactively identify risks, and provide recommendations to head off challenges and seize new opportunities. 

For companies that are able to invest and position their business to unlock the potential of AI in the supply chain, the technology can provide a distinct competitive advantage.

While maturity levels vary for artificial intelligence in logistics and the supply chain, it has the potential to facilitate more accurate and efficient decision-making.

Thanks to the versatility of its benefits — what business function wouldn’t want to have their mountains of data quickly analyzed? — AI can be applied to supply chain activities in numerous ways, and the future of AI in the supply chain is promising.