Stores 2008 Global Powers of Retailing - (Page 4) ADVERTORIAL Accelerating Retail and Restaurant Chain Growth James R. Arthur, Director, Global Retail Industry Strategy The challenges facing all retail and restaurant real estate executives are complex. There are financial pressures to meet high growth targets, as well as bottom line contributions. At the same time, there is a need to beat the competition to the best locations in the market. Yet, one brick-and-mortar mistake, such as the wrong location or bad site access, can derail a chain’s ability to “hit the numbers” and dilute its strategic positioning within a market. So how can retailers apply a measured systematic approach to their market planning and site selection? And how can they balance the desire for timely market-driven decisions with the need for reliable sales forecasts based on thorough site and market analysis? The key is location intelligence — deriving actionable and predictive intelligence from retail operations to learn from the past to improve the performance of future locations. At the same time, location intelligence helps fine tune existing operations — a crucial component of a retailer’s profitability and growth. Location intelligence and predictive analytics put data and experience to work to provide answers to critical questions such as: • How many stores can I place in this market? • How will that location perform? • How has this market changed over time? • What market should we go to next? • Who are my most profitable customers? play analytics to advanced predictive analytic modeling solutions. However simple or comprehensive your location intelligence requirements are, we can provide you with the best solution to help you to minimize your decision and investment risk. One way to visualize Pitney Bowes MapInfo’s array of products and solutions is to tier them according to the specificity of answers provided to decision-makers. Ground Truth What sets Pitney Bowes MapInfo’s predictive analytics group apart from other providers is unparalleled domain expertise and “feet on the street.” With over 200 real estate analysts world-wide, Pitney Bowes MapInfo has local “ground truth” knowledge in key locations across the globe. Our real estate experts put their extensive field-based market knowledge to work for you so you are getting more than just statistics, facts and figures. You get a trusted advisor, backed by over 47 years of industry experience, dating back to the inception of Thompson Associates in 1959.* Whether you are a fledgling retail chain looking to open those critical next few locations, or a retail giant searching for the most profitable opportunities for in-fill, redeployment or global expansion, Pitney Bowes MapInfo can help you — providing you with the consultation, support and solutions you need to succeed. We can reconcile your “need for speed” in evaluating markets and bringing new locations online with the equally important requirement for accuracy in analyzing each site and market from both a tactical and strategic deployment perspective. Custom Predictive Analytics Modeling and Services By leveraging advanced predictive analytics modeling technology, the real estate executive is able to immediately prioritize and rationalize capital expenditures and site acquisitions based on realistic measures of return and proactively secure the best sites for his/her brand ahead of the competition today while working from an overall strategic blueprint that ensures the optimal long-term location strategy for the chain. Predictive analytics services and custom modeling development solutions are tailored to the unique customer and competitive profile of a specific retailer, taking into account the most statistically significant variables that explain sales performance for a brand at any given location (for example: distance decay, demographics, sister store locations, competitor locations and site characteristics). These models don’t replace analysts. They are a way to leverage advanced technology to work smarter. Rather than spending valuable time manually sifting through and evaluating hundreds of site submissions from brokers and other sources, these models help analysts to quickly filter out the sites that don’t meet their requirements (for example: mini- We Provide Answers Pitney Bowes MapInfo combines data, software and services to meet retail, real estate and restaurant chain decisionsupport needs — ranging from basic market reports and dis*Thompson Associates was acquired by MapInfo Corporation in 2003.
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