Awardco
Amazon Business now offers rewards and recognition for everything you love about Amazon. Awardco has partnered up with Amazon Business to offer millions of reward options, lower vendor fees, and dollar-for-dollar recognition spending to your organization. All this and more - in one platform.
Awardco is a platform that organizations of all sizes use to retain their valuable employees. It offers a modern system for recognition, incentives, and milestones with the largest reward network available globally. By using Awardco, companies can reward their employees without having to pay markups or shipping fees, which ultimately creates more value for their people. Recognizing employees can lead to increased engagement, productivity, and employee loyalty, ultimately benefiting your organization.
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Cahoot
Cahoot, the next-generation eCommerce order fulfillment system, is powered by our easy-to-use eCommerce fulfillment software. We offer nationwide 1-day or 2-day delivery to more than 90% of the US population through our network of eCommerce fulfillment centers. Cahoot offers reliable and affordable US fulfillment services to major marketplaces like Amazon, eBay, and Walmart. We integrate with the most popular eCommerce platforms and shopping carts including Shopify, Shopify Plus and Magento. Cahoot, the first peer-to-peer eCommerce fulfillment platform in the world - think Airbnb for eCommerce fulfillment. Our fulfillment rates are often lower than traditional 3PL fulfillment networks.
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Robosize
RoboSize presents an innovative virtual fitting room service that significantly improves the online shopping journey by offering tailored size suggestions and lifelike representations of clothing. Customers can simply input basic information like their height and weight, allowing RoboSize to accurately recommend the perfect size and illustrate how the clothing will fit on their body. This method effectively addresses customer dissatisfaction and minimizes returns related to sizing issues, thanks to its precise, personalized fitting solution. The integration is quick and user-friendly, requiring under 10 minutes to set up on various website platforms, including both Shopify and non-Shopify e-commerce sites. Additionally, RoboSize's virtual fitting room is designed for optimal performance on mobile devices, guaranteeing a smooth experience on any platform. Retailers who adopt this solution can anticipate enhanced conversion rates, increased average order values, and diminished return rates while creating a welcoming and engaging shopping environment for customers of all body types. Ultimately, RoboSize not only improves sales metrics but also promotes customer satisfaction and loyalty through a more personalized shopping experience.
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SAIZ
SAIZ is transforming the fashion landscape by tackling the ongoing issues of sizing and fit through the use of sophisticated analytics and cutting-edge artificial intelligence. Utilizing the largest fashion database available, SAIZ offers an extensive range of tools aimed at improving sizing precision for fashion labels, which in turn diminishes return rates, enhances conversion rates, and fosters sustainability within the industry. Among their innovative solutions is the SAIZ Recommender, which provides accurate size recommendations by aligning individual customer measurements with specific garment information, along with SAIZ Studio, a platform that offers detailed insights into customer size preferences and the performance of various products. This data-centric methodology empowers brands to customize their offerings to meet the distinct demands of their clientele, ensuring consistency in fit and refining product development processes. By adopting SAIZ's advanced technology, fashion brands can witness notable enhancements in key performance metrics, including a marked decline in return percentages, ultimately leading to improved customer satisfaction and brand loyalty. Such advancements not only benefit the businesses but also contribute positively to the environment by reducing waste associated with returns.
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