Issue link: https://resources.tangoanalytics.com/i/1465853
SMARTER STRATEGIES. FASTER EXECUTION. I www.tangoanalytics.com I PAGE .7 Enterprise solutions offer the deepest functionality – but aren't built with retailers in mind, and are much more expensive and often challenging to configure and implement. They too are shackled by their older technology stacks and data models which have become extremely cumbersome and difficult to support. They often require mini-server farms to install and an army of people to support. While you can rely on these solutions to keep track of your development pipeline, pay bills, adhere to contract terms and maintain your assets, they lack the intelligence to ensure that your strategy execution is truly informed and learns from experience. Without a strategy-execution feedback loop, companies run the risk of making the same mistakes over and over – or continuing down a path to a point where it is too late to turn back. As more and more retailers look to expand their reach to global markets, most SLM vendors still have a North-Ameri- can focus in terms of products and customers, and cannot handle the complexity of multicurrency, multilingual and multi-geography organizations. The blinkered, execution-focused functionality of traditional IWMS and SLM systems is similar to navigating the globe using inaccurate maps and archaic instruments. You'll move forward, but you will likely not make it to your destination. Without a strategy-execution feedback loop, companies run the risk of making the same mistakes over and over – or continuing down a path to a point where it is too late to turn back. Strategic Store Lifecycle Management Strategic Store Lifecycle Management is about having the intelligence and logic that enables you to build a plan and execute against it, as well as be able to adapt to changing conditions – effectively bridging strategy and execution. So, what does that really mean for retailers? Predictive analytics embedded throughout the entire real estate and store development process means retailers can turn big data into intelligent decisions when and where they need it. For example, a backbone of deep customer and location predictive analytics integrated with robust field deployed mapping technology delivers intelligence to the site selection process, ensuing you prioritize the best sites for pursuit and facilitate the selection and execution process. Adaptive Models allow you to automatically redraw trade areas, reforecast sales and cannibalization models based on dynamic underlying customer profiles and down- stream execution realities. They enable strategies to change in real time in response to market and execution conditions. They help to mitigate risk and dramatically improve delivery visibility while providing the knowledge and flexibility to change plans before it is too late. Purpose-built Retail GIS that moves beyond mere visualization and provides out-of-the-box capabilities that are integrated throughout the entire store lifecycle – from capital and market planning, to site selection, project management, and existing stores – and effect change in strategy. Shifts in customer dynamics reshape trade areas, and automatically recalibrate sales forecasts and cannibaliza- tion models to ensure rapid and fully informed decision making and execution alignment. Cloud-Based Retail Platform with enterprise-level capabilities accessible anywhere, and at a fraction of the time and cost it takes to implement other systems. A true Strategic SLM solution addresses the growing global requirements of many retailers – managing different brands and providing multi-currency and multilingual capabil- ities. STRATEGIC STORE LIFECYCLE MANAGEMENT