Upp Technologies
The Upside of Retail Intelligence and Online Trading

A consumer’s purchasing decision is significantly influenced by their shopping experiences at all touch points. Retailers have to facilitate a rich and compelling experience for every moment a customer interacts with their company or product. There are numerous variables that retailers need to stay on top of to ensure a seamless shopping experience for their customers. They must monitor trending consumer behaviour changes, evaluate marketplaces’ functioning, and effectively advertise, price, and deliver their products based on arduous data analysis, which can be challenging.

Upp Technologies exists to address these challenges.

Upp Technologies provides a unique AI-powered operating system (OS) for enhanced retail trading that automates advertising decisions and utilises unique insights to affect change outside advertising. The OS is distinctive in analysing and aggregating inventory, consumer, and business operations data in real-time to improve the performance marketing of products by creating insights and actions to ensure that retailers’ Google Shopping campaigns are continually maximised for profit.

“We’ve found that 40 percent of ad spend on Google Shopping generates £0 revenue, and we’re putting that cash back into retailers’ pockets by eliminating the waste and putting spend where it’s needed,” says Drew Smith, CEO and co-founder of Upp Technologies.

Upp’s unique technology comprehensively analyses performance marketing on Google Shopping down to individual SKU levels. Its decision intelligence combines retail and inventory analytics to improve commercial outcomes and reduce wasteful expenditures by promoting trending or readily available products with a positive gross margin. It ensures the client’s marketing focuses on promoting the right product to the right customer by analysing the performance of products against the entire retail ecosystem in real time, providing businesses with strategic insights to improve growth, profitability, and customer acquisition.

The operating system’s decision intelligence automates effective advertising by placing inventory at the heart of decision-making and provides insights to enhance business performance. As a key differentiator from other retail intelligence providers, the OS focuses on all four key levers of retailers—advertising, pricing, promotion, and delivery of products—to positively change its clients’ business outcomes. Its AI and machine learning technology accomplishes this by processing thousands of business, consumer, and product performance data points to automatically restructure and streamline the administration of Google Shopping and Performance Max for retailers, making the channel more profitable.

Upp’s platform seamlessly integrates into its users’ ecosystem and becomes fully operational within 48 hours. Its easy-to-use interface provides retailers with a more transparent and deeper understanding of their inventory, as opposed to ‘black box’ retail management tools that continue to store valuable information in silos or different departments.

One of the notable collaborations of Upp technologies was with Charles Tyrwhitt, a British multi-channel clothing retailer. When Charles Tyrwhitt sought a service provider to manage their product performance to drive top-line growth and profitability, Upp stepped up to the challenge. After learning about their product and commercial performance, Upp’s technology increased the number of product lines receiving sufficient marketing spending. Within 90 days, Upp’s OS managed to increase Charles Tyrwhitt’s revenue volume by 60 percent through spotting and acting on trends in real time.

Upp’s decision intelligence is transforming the trading capabilities of online retailers. Its solution is designed for retail brands to improve and scale their advertising at pace and succeed in highly competitive markets by outperforming their rivals. Its technology connects the dots in business operations, consumer data, and market data to enrich product titles, attributes and descriptions so they’re found by more consumers, empowering retailers to enhance their business outcomes. With Upp’s OS, retailers are propelled to capitalise on selling the products in demand and cease spending on advertising products that are not.