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.
From spreadsheets to strategy
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
Why smartcat
Get solutions for the future, not just pure code.
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ML Solutions in production
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data Lakehouse implementations
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referrals
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offices globally
Partnerships
Shaping the industry together
We believe in partnerships. We collaborate closely with you to co-create data solutions that shape the industry landscape.
what our clients say
“We gladly paid the max price.”
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.