Spring has sprung and summer is hot on its tail.  Now is the time for sundresses and baseball. After a long winter, however, your top selling products are all overcoats and Christmas ornaments.  Features like Machine Learning will push your most popular products to the top of the search results, but what if you want to push products that likely haven’t been purchased in months? You could manually set the product order for your top search terms, but that’s a lot of work and it would only affect specific search terms.  There is a way to accomplish such a task on a global level with almost no maintenance required.  In this article we will show you how to use Global Ranking to automatically promote products and save time and effort.  

For e-commerce stores that rely on traffic and conversions, search functionality on your website is a critical component of the user experience. But if your online store has a large inventory or requires ultra-fast processing speeds for search queries, some traditional database models may pose problems for your platform.

Thankfully, IMDB has made it possible to enjoy the best of both worlds through in-memory databases and hybrid integration.

More than 5 million developers have downloaded and currently use Elasticsearch for managing huge databases of information. This includes eCommerce developers, who have extensive collections of data for customer information, behaviors, inventory items and much more, which all come together in a marketplace that’s driven by conversions.

Celebros is bringing the power of its Natural Language Processing (NLP) technology to Elasticsearch database users in a way that helps them directly leverage the power of the data they have, to drive better eCommerce conversions. A new plugin—called Celastic (Celebros + Elastic)—will bridge the gap between shopper queries and extensive Elasticsearch databases, generating better search results and more satisfied shoppers.

Les acheteurs en ligne d’aujourd’hui souhaitent trouver exactement ce qu’ils recherchent. Même s’ils ne sont pas toujours surs de ce qu’ils veulent vraiment… Ce n’est plus le rôle de l'acheteur de parcourir une liste de produits pour choisir l'option qui lui convient le mieux. Aujourd’hui, la mise en relation du bon produit vers l’acheteur incombe au moteur de recherche interne du site e-commerce.

Fini le temps où nous étions capables de simplement proposer une barre de recherche aux clients. Place a la revolution de la recherche en ligne! Les fonctions de la Recherche en ligne sont de nos jours basées sur le Natural Language Processing (NLP). Elles s’appuient sur des algorithmes très sophistiqués, la Recherche en mode dictée « la voice search » et encore de nombreuses innovations qui rendent la Recherche en ligne toujours plus intuitive et facile d’utilisation. Enfin, avec la Recherche instantanée, les boutiques en ligne bénéficient d’une nouvelle arme commerciale qui agit en temps réel.