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Industry

Retail & Ecommerce

In the world of online shopping, handling information and cues your shoppers give you makes all the difference between growing businesses and those who’ll struggle. Understand your customers and give them more of what they want, when they want it, and how they want it.

Expertise diagram

Gather all the information from various Excel sheets, get a user-friendly tool anyone can use at all times and create a 360 analytics machine for an entire retail front and back office.

GPT Copilot Integration

Recommender engine

Chatbot development

Keyword extraction service

Chatbot development

Similarity analysis

See case studies

Why smartcat

Your Trusted Partner for Visionary Solutions

When you choose SmartCat as your partner, you embark on a journey that begins with a visionary approach, followed by meticulous design and implementation and culminates in the delivery of production-ready systems.

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Partnerships

Shaping the Industry's Future Together

At SmartCat, we believe in forging partnerships, not just client relationships. We collaborate closely with our partners to co-create innovative data solutions. Our approach fosters a collaborative environment where ideas are exchanged and goals are aligned. Join us as partners in shaping the industry's future.

what our clients say

Trusted by our beloved clients SmartCat Exceeds Expectations!

Scholarship owl

”We have worked with SmartCat to develop a number of AI-based projects, and since we've been hesitant about the scope and size of the project, SmartCat suggested a "Time and Mastery" model, with min-max estimates and success criteria. SmartCat has blown it out of the water - the quality of work and speed of delivery was top notch, and we gladly paid the max price, because they substantially overachieved the goals we've set together. We've just finished our second project with them, with the 3rd one coming soon!”

David Tabachnikov

CEO, ScholarshipOwl

Meridian

“Just like everybody else, we had data. But we needed help on how to tackle the issue of extracting useful information from our data. We are totally happy with the state of the art AI engine SmartCat has created for us. This enables us to provide unique experience to our customers by using SmartCat's data driven AI model."

Nenad Radanovic

Head of Software Development, Meridian

Almost everyone has data in e-commerce. But not everyone uses it effectively.

By transforming raw data into valuable insights, we help improve customer understanding, streamline operations, and drive sales and growth. From developing recommender engines and chatbots to performing sentiment analysis and advanced search, SmartCat covers a wide range of services to unlock the full potential of e-commerce data. Seize the opportunities today in the ever-changing retail and e-commerce landscape.

OpenAI

In addition, by integrating the power of OpenAI into our solutions, SmartCat takes data-driven decision-making to new heights, providing businesses in the retail and e-commerce industry with unparalleled capabilities for success.

Recommender Engine

A recommender engine offers personalized recommendations to each customer, taking into account their preferences and past behavior. This level of personalization enhances customer satisfaction and engagement. Moreover, the engine seamlessly integrates with your application, ensuring a smooth and customized user experience. By ranking products based on multiple features, the engine highlights the most important and relevant items to your customers, increasing the likelihood of conversions and sales.

Chatbot Development

Implementing a chatbot automates sales processes and provides instant customer support, reducing the need for human intervention and improving efficiency. Chatbots enable efficient and streamlined communication, offering quick responses and resolving customer queries promptly. This leads to higher levels of customer satisfaction and loyalty. Additionally, by analyzing content pages, you can gain valuable insights into the marketing and advertising landscape. This information helps optimize your marketing strategies, target the right audience, and understand customer feedback through sentiment analysis.

Keyword Extraction Service

A keyword extraction service helps organize and categorize information effectively by extracting main keywords and entities from your text data. This simplifies data retrieval and improves search functionalities. By leveraging advanced search capabilities enabled by keyword extraction, you can provide customers with a smart and efficient search experience, allowing them to find the necessary information quickly and easily.

Similarity Analysis

Similarity analysis enables the identification and recommendation of similar products to customers based on their preferences. This facilitates cross-selling and upselling opportunities, ultimately increasing revenue. Moreover, understanding product similarity allows for personalized customer communication, enabling targeted marketing campaigns and tailored messaging. Additionally, similarity analysis can contribute to setting the best possible price for your products through dynamic pricing services. By considering multiple factors, such as product features and market demand, you can optimize pricing strategies and maximize profitability.

Smart Facts Related to our case studies

Discover smart tips for your retail and e-commerce business based on our case studies. Enhance customer engagement, and boost sales with personalized recommendations, efficient chatbot support, and smart search capabilities. Streamline data organization, optimize marketing strategies, and increase revenue with our proven insights.

Integrating LLMs

When integrating LLMs, consider customizing the model to the specific data and needs of your users. Utilize user data to guide LLM behavior and tailor responses accordingly. Better data quality leads to improved chatbot performance and greater user satisfaction.

OpenAI's LLM

OpenAI's LLM is an incredibly complex software project, with billions and trillions of model parameters and a state-of-the-art architecture. The sensitivity of LLM to user inputs is best exemplified through prompt engineering, where factors like word order, sentence structure, punctuation, and slang phrases influence the model's output.

Segmenting users

When segmenting users based on financial transactions, it is essential to consider multiple features and apply clustering algorithms to identify distinct groups. The ability to customize dashboards and filters empowers stakeholders to extract actionable insights and make data-driven decisions for their business.

Seamless Data Access and Querying

By leveraging natural language processing, you can seamlessly read from your databases, retrieve information, and perform complex queries. This enables functionalities like retrieving recipes based on specific ingredients or finding alternatives within a database. Users can easily interact and obtain relevant information without the need for manual database navigation.

Enhanced User Experience and Navigation

Integrating natural language capabilities into your website or application allows users to navigate and interact using conversational language. They can ask for guidance, locate specific information or products, and receive recommendations. This natural language interface improves user experience, making it more intuitive, efficient, and user-friendly.

Automated Data Input and Tracking

Natural language processing enables users to write into databases using conversational language. For instance, users can input data into their food diary or track calories consumed simply by describing their actions or meals. This streamlines the data input process, making it convenient and efficient for users to manage and track their information.