AI for Retail

Anticipate the demand of your market and increase your sales.

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AI offers a step forward in automation that is changing the retail industry. AI enables retailers to drive sales and anticipate demand, to gain a better understanding of consumer behavior and to offer highly accurate individualized promotions. AI will likely have a significant impact on the retail industry, and retailers that aim to remain competitive cannot ignore the potential benefits of this technology.

Powered by our AI engineers and data scientists, we provide solutions for retail companies.

Make AI Work For Your Retail

Inventory Effectiveness
Inventory Effectiveness

Inventory management is a challenge for retailers: having too much inventory is a costly affair while merchandise being out-of-stock leads to lost sales and customer frustration. Our engineers can help your team in inventory management, reducing the uncertainty involved with maintaining stock levels by monitoring supply chain, market, and consumer demand variables.

Customer Engagement
Customer Engagement

AI helps retailers to be available at each step of the customer journey. by responding to customer texts, images, and links. Chatbots have stepped onto the scene as an extremely multi-faceted tool for reaching and connecting with customers. Our engineers can help you build a chatbot who can answer questions by responding to texts, images, and links.

Forecasting Demand
Forecasting Demand

In retail management, forecasting serves to predict and meet the demands of consumers in retail establishments while controlling pricing and inventory. Holding excess inventory adds to overhead costs for a business. When forecasting helps the retailer to meet the demands of the customer by better understanding consumer purchase patterns, the result is more efficient use of shelf and display space within the retail establishment, in addition to optimal use of inventory space.

Dialog Modeling and Chatbot

Dialog modeling is used for building dialog systems and finding their applications in various business enterprises like healthcare, education, and entertainment.

Cases in which it is used include:

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 such as answering questions related to orders and bookings.

We help build dialog systems and incorporate them into applications that can benefit your business from a dialog-based approach.

AI for Retail at Fusemachines
Document Classification and Clustering

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 and work with your team to clean the data and build scalable classification solutions that can be used for a variety of documents such as emails, user manuals, news, and chats.

Information Retrieval

Information Retrieval is the technique of obtaining structured or unstructured data from within a large pool of data stored in computers to satisfy information need.

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.