Resources

In the ever-changing landscape of business, economic storms can present both hurdles and opportunities for brands. While rising interest rates and escalating inventory costs may appear as daunting obstacles; stalling expansion plans and impacting revenue, all hope is not lost. Instead, these challenges serve as signals for brands to reassess their strategies, adapt to the new conditions, and chart a course towards resilience and growth. How can these brands not just weather the storm but emerge stronger, ready to navigate a new era of expansion?

Your brand has gained local popularity, with exceptional service, quality products, and a solid business model. Now you're ready to scale the concept and maximize your profits — but how will you find the time and funds to do so when you’re already busy managing supply chain logistics, staffing levels, marketing campaigns, local regulations, and maybe even franchisee relationships?

Sales cannibalization might be an age-old problem, but that doesn’t mean you should be stuck with age-old solutions. Real estate teams have incorporated scientific calculations into their marketing planning in the last three or four decades, but now this trend is accelerating as the technology advances.

Learn how to bring your brand's market planning strategy to life with empowered decision-making. Explore why SiteZeus' A.I.-driven platform provides the robust data and accurate analyses needed for your real estate team to succeed.

As brick and mortar brands face a future of unprecedented competition, changing consumer behavior and cost pressures, they find themselves at a crossroads: Will they choose the right path to retail success, or fall behind on the journey?

Sci-fi depictions of artificial intelligence are everywhere in Hollywood, from the futuristic fantasies of 2001’s A.I., about a child-robot, and 2014’s Ex-Machina, about a humanoid A.I-enabled robot, to the classic A.I.-is-evil flick, 1984’s Terminator. With these sometimes frightening visions of autonomous machines taking over the world, it’s no wonder that many people find the whole notion of A.I. confusing at best and anxiety-provoking at worst.

Today’s digital society is giving people an expectation for immediate results. People want it now, in real time. The same phenomenon is occurring among emerging brands and franchisors serving daily needs who have been encouraged to sell franchises quickly, in some cases without regard to necessary economies of scale in marketing and other support services. But what cost does that rapid expansion have on profitability and long-term success?

In today’s competitive retail landscape, companies are using the latest data and analytics tools for nearly every aspect of their business, from sales and marketing to operations and supply chain. At the same time, choosing the right location has become a more essential decision than ever. This is hardly surprising, given that the wrong site decisions can have million-dollar consequences. Forward-thinking organizations are constantly fine-tuning their process to make sure the sites they select are the very best ones to grow their business and turn a profit.

A guide for organizations at every stage: Predictive modeling to help organizations evaluate and select the right sites is poised to transform location-based decision-making. But are the latest in predictive intelligence tools right for you, right now?

Download this resource and learn how the latest location-based modeling puts you in complete control for site success. We cover the four things legacy models lack, modern-day machine learning, how to go from reactive to proactive decision-making,. and traditional vs. today’s models

How to select better sites with data. Can you name the nine U.S. cities with the highest quality of life? If you’re like most people, that's a tough question to answer quickly. Sure, you can guess, but you’re working with what limited information you have at first recall. Now, how would you feel if we asked you to compete against someone in that memory recall game if they had access to Google and you didn’t? You wouldn’t do it, right?

In many ways, technology has leveled the playing field between companies and their consultants, and has blurred the lines between insourcing and outsourcing. If a company uses in-house software created by a third party, is that outsourcing? And if a consulting firm builds and maintains a proprietary system for a company, is that still insourcing? And which route offers the best time-for-value and ROI?...