Best Product Recommendation Engines for Google Cloud Platform

Now, organizations can provide Google-quality searches, browsing, and recommendations to their own digital properties. This will help increase conversions and decrease search abandonment. Utilizing Google-quality search features can reduce search abandonment. Searching for products using images can enhance the shopping experience. Personalizing the shopping experience will improve conversion and order values. Retail Search and Browse allows retailers to implement Google-quality experiences, which are customizable and built on Google's understanding user intent and context. Recommendations AI is able to understand the nuances behind SKUs, context and customer behavior in order for it to drive engagement across all channels. Uses ML-powered lookup and object recognition to provide real-time, relevant results for similar or complementary items in your product catalog.

Algonomy is powered with a proven real time customer data and analytics platform, and global retail expertise. You can now precisely integrate demand and supply, engage customers with contextually pertinent experiences throughout their lifecycle, and enable rapid time to market, resulting in immediate ROI for your company. The new digital world is based on decision-making, not data. Customers who are smart expect personalized engagement and deeper, more relevant experiences. Brands must be able to make immediate decisions to address what appear to be two competing goals: short-term conversion revenue and long-term lifetime values. Algonomy makes it easy to make this a reality. You can have AI-based actionability as well as deep domain-specific analytics. Algonomy was created by Manthan, a cloud analytics leader and RichRelevance, an experience personalization icon. This new combination gives retailers an immediate boost in digital competence.

Show your customers that you are able to understand them and earn their trust. Google has spent years creating recommendations across its flagship properties, such as YouTube, Google Search, Google Ads, and Google Search. Recommendations AI uses that machine learning expertise and experience to provide personalized recommendations that are tailored to each customer's preferences and tastes across all touchpoints. Customers will love more of the things they love. You don't need to preprocess data or train or hyper-tune machine-learning models, load balance or manually provision your infrastructure for unpredictable traffic spikes. We do it all automatically. Google's machine learning models and expertise in recommendation technology allow you to take advantage of their expertise. They can correct for seasonality and bias, and excel in situations with long-tail items and cold-start users. Integrate data, manage models and make recommendations to improve performance.

Lily AI improves the shopping experience by injecting consumer-centric words throughout the retail ecosystem. This maximizes technology investments and can deliver upwards to a nine-figure revenue boost. Lily AI transforms qualitative product attributes into a universal mathematical language that is centered on the customer, with unprecedented accuracy. This results in a scale and depth of attribution no other solution can match. Fuel your existing ecommerce platform, search engine and PIM tools, SEO/SEM, and SEO/SEM with the most accurate and deepest product attribution data available in commerce. Over 20,000 attributes are included.

The personalization solution of preference for retailers with rapid growth. The modern ESP allows you to personalize at scale and pay only for the performance. We empower retailers to find their best customers and keep them for the long-term. Bluecore is a dynamic, creative team of smart and creative people. Bluecore believes in the power and potential of unique ideas. This belief shines through in everything that we do, from our innovative product to the fast-paced, dedicated culture. We have learned to be passionate about what we do, how to be flexible through growth, and how to have fun doing it.