Online shopping is the field that is affiliated to AI where general public is most involved in. Machine learning plays a vital role in making customer’s experience more personalised, in any sort of online exchange or transaction. Purpose of ecommerce is basically to have people’s online business experience smoother and more convenient.
Infusion of AI tech into ecommerce makes the whole experience customer centric. Fusemachines associates the kind of talent that can help you improve the experience for your customers.
Make AI Work For Your eCommerce
Machine Learning lets you enhance customer experience by learning from their choices. We can personalise a customer’s experience by showing relevant products, deals and services based on their previous history. This helps to enhance customer loyalty as they are only shown relevant products and solutions.
By sorting through customer purchase patterns and sales history, AI can be used to predict future sales pattern. Forecasting serves to predict and meet the demands of consumers while controlling pricing and inventory. Holding excess inventory adds to additional overhead costs for a business. With AI, you will be able to sell more by holding the right quantity of inventory.
Buyers interested in your product or service inevitably fall through cracks. Many businesses are overloaded with customer data that they do not have time or resources to shift through. AI solutions can clear the clutter and give you the ability to close sales faster by giving you insights on potential buyers and the ability to target them with customized responses based on their interactions.
Dialog modeling is used for building dialog systems and finding its applications in various business enterprises like healthcare, education, entertainment, etc.
Answering customer questions about products and services
Facilitating transactions through guidance in the sales process
Responding to customer questions
Website navigation: Guiding customers to relevant portions of complex websites.
Personalized services. For eg: answering questions related to orders, bookings, etc.
We help build and incorporate dialog systems into applications that can benefit your business from a dialog based approach.
Document classification or document categorization is a problem in library science, information science, and computer science. The task of document classification is to assign a document to one or more classes or categories. This can be done "manually" (or say "intellectually") or algorithmically.
Our engineers can help you figure out the ontology of the document classes; work with your team to clean the data and build scalable classification solutions that can be used for classifying variety of documents from emails, user manuals, news, chats, etc.
Information Retrieval is the technique of obtaining structured or unstructured data that can satisfy information need from within a large pool of data stored in computers.
We can perform full-text information retrieval or build specific content based indexing. Depending on the requirements, we can build models for text documents, images, audio, mind maps or videos.