Newsletter – May 2023
Posted by | Fuld & Company
The themes we highlight in this month’s newsletter all point toward the importance of strategic agility and adaptability in today’s ever-changing business landscape. Emerging uses of AI and machine learning, sustainable energy practices, and being able to anticipate and prepare for your competitors’ next moves are all critical for businesses to compete in today’s market.
By keeping up-to-date on industry developments and embracing new technologies and practices, companies can stay ahead of the curve. I’d love to hear your feedback on the issues covered in this month’s newsletter. Please reach out if you would like to discuss how these topics are relevant to your business.
War gaming: Stress-Test Your Competitive Options
Are you tired of reacting to your competitors’ moves? Do you want to be one step ahead in the game? Then war gaming is a must-have exercise for your company. With decades of experience in designing and facilitating war gaming workshops for companies across virtually all industries, we can help you stress-test your competitive options. Learn how we can help.
Is Tesla Energy Set to Dominate Storage?
Tesla Energy is set to become one of, if not the, largest global manufacturer of grid-scale storage systems by the end of 2024. Its plans to build a second gigafactory focused solely on the production of Megapack energy storage systems is positioning the company to dominate this key sector of the green sustainable energy market. Read more…
Distressed Deals: A Silver Lining for Investment Banking?
Investment banking trends have taken a turn in 2022, with a decline in deal activity and volume after a record-breaking 2021. This slowdown has been driven by factors such as rising inflation and interest rates. However, some sectors have seen an increase in bankruptcies, leading to a surge in demand for bankruptcy and corporate restructuring services. As a result, firms expect an increase in demand for advisory services in business turnarounds, financial restructuring, distressed debt, and capital advisory. Read more…
Leveraging Machine Learning to Optimize Profits
A US-based grocery and fresh retailer faced tough competition from retail giants like Walmart, especially in terms of pricing. To stay competitive, the company turned to Machine Learning (ML) to model price-based demand response and optimize profits or revenues based on the objectives of cooperative members, store owners, and regional managers. Read more…
