In 2020, American Eagle began expanding options for customers to pick up orders in-store and at curbside. Amid the COVID-19 pandemic, the company aimed to provide a seamless shopping experience for both in-store and buy online, pickup in store (BOPIS) customers. However, the original solution for order pickups fell short of American Eagle’s standards for customer experience and posed several operational challenges. Customers had difficulty finding the curbside pickup locations and complained about long wait times. Staff were unaware of when customers were arriving and unable to prioritize orders based on pickup times. Store associates struggled to locate customers in parking lots using only the customer’s initial description of their parked location – a challenge exacerbated for American Eagle, as many of their locations are in malls and shopping centers. American Eagle realized they needed to find a more efficient way for their store associates to fulfill curbside pickup orders and promote safety for customers who chose to come into the store, and they needed to solve this problem fast.

Raise, a leading mobile payments company, launched the Slide mobile app to provide better savings opportunities for shoppers. The app offers 4% cash back instantly for in-store and online purchases at over 150 partner locations. The challenge was to make it easy for users to identify nearby partner locations, receive cash back reminders as they shop, and identify the correct barcode when they reach checkout. To achieve this, Slide needed a comprehensive location infrastructure solution for their mobile payments app. The solution needed to be robust, cost-effective, and capable of powering all of the app’s location-based experiences.

Cars.com, a leading digital automotive marketplace, faced a significant challenge in managing large amounts of dealership location information. This data was crucial for powering and reporting on the digital experiences that connect car shoppers with sellers. The company's data, operations, and product teams needed to efficiently handle this information to ensure meaningful interactions across the buying journey. The legacy systems in place were not sufficient to meet these needs, necessitating a more comprehensive solution for location data management and reporting.

Since its launch in 2012, the Drybar brand has revolutionized the haircare industry with its unique blowout-only, brick-and-mortar business model. The brand has gained exceptional recognition, largely due to its highly loyal customer base. By understanding the location of their clients, the brand can anticipate client needs, deliver personalized experiences, and strengthen client relationships over time. However, during the COVID-19 pandemic, driving appointment bookings in areas that were open and safe became a critical challenge. With over 70% of bookings already coming directly from the app, the Drybar team saw an opportunity to enhance and optimize the client app experience to secure more appointments and increase revenue.

Fiesta Restaurant Group, Inc., the owner and operator of the restaurant brand Pollo Tropical, faced significant operational challenges in the wake of the COVID-19 pandemic. With a shift in customer ordering behaviors, the company needed to adapt to provide safe, convenient, and seamless ordering experiences that maintained their reputation for quality service and freshness. In response, Pollo Tropical quickly implemented a Curbside Pick-up service for their mobile users. However, the initial solution had many gaps that led to poor customer experiences and operational difficulties for restaurant teams. The lack of visibility into the customer’s Estimated Time of Arrival (ETA) made it difficult for restaurant teams to effectively prioritize order preparation between various order modes such as in-store, curbside, and delivery. This often resulted in longer customer wait times and compromised food freshness. Customers were also often unsure of whether they needed to call the restaurant, engage with the app, or park in a designated area. The Fiesta team was under pressure to launch an enhanced curbside experience as quickly as possible.

RetailMeNot, a leading savings destination, aims to influence purchase decisions by offering savings and deals. The company's mission is to help people save money and live more affordably. To achieve this, RetailMeNot needed an accurate location solution that would help consumers find nearby deals from their favorite places, providing savings when they need them most. The challenge was to find a solution that could seamlessly integrate into their growth stack and provide real-time, location-based offers to users, thereby driving footfall to their retail partners.

T-Mobile, a leading telecommunications company, has a customer appreciation program called T-Mobile Tuesdays, where they give away free stuff, great deals, and exclusive offers every week. Customers can access these offers through the T-Mobile Tuesdays app. Despite the program's success, with over 50 awards and savings of over $1B for customers, there were significant challenges. The primary issue was that customers complained about the unavailability of offers in their area. Before implementing a solution, T-Mobile could only do geo-targeting manually, which was an error-prone process and led to irrelevant offer curation. T-Mobile saw these challenges as opportunities to create more engaging, relevant experiences. They aimed to use location targeting to increase offer relevancy, which would lead to higher app engagement, customer satisfaction, and retention.