Use predictive analytics to forecast product demand and drive intelligent business decisions and costs reduction. Analyze historical data, past sales, real-time global data, seasonal demand for effective inventory management and sales projections. With our artificial intelligence solutions for business analytics and demand forecasting, you can create an intuitive, interactive budgeting and planning environment with highly accurate predictive demand forecasts.
Optimise your prices to set optimal prices for your customers and keep your profit margins. Implement AI-led price optimisation to free up your team from monotonous work and switch to high-level customer-focused decision making.
Detect which customers are likely to cancel a product subscription and prevent it immediately with custom predictive analytics solutions. Identify at-risk customers and offer incentives to make them satisfied with your product. Armed with AI in marketing, you will eliminate a large proportion of customer churn and avert substantial losses.
Earn your customers’ trust and loyalty by proving how well you understand them. Equip your digital marketing with AI technology to segment the audience and identify potential customers. Through front-line customer data analysis, creating eye-catching targeted advertisements and content recommendations, you can achieve reduced ad spending, increased revenue, higher engagement and conversion rates.
Visual search based on computer vision is key to better product recommendations and sales. Implementation of visual search technology allows your company for an increase in customer satisfaction, higher search speed, lower item tagging costs, and a greater number of shoppable products.
Computer vision technology draws on that experience and expertise in machine learning to deliver personalized recommendations that suit each customer’s tastes and preferences across all your touchpoints. Your company can offer the customers smart product recommendations such as virtual fitting rooms via AI mobile apps, creating an outfit based on closet clothes, and more accurate product recommendations within the genre.
Image recognition techniques let your company detect image plagiarism to protect your intellectual property. Counterfeit detection automatically identifies and properly keeps record of detected counterfeits. With fake logo brand detection, our system offers relevant web pages as well as ‘visually similar images’ and matching images.
AI-driven NLP services open the door for your company to scale the sentiment tracking process on web pages and social media, which opens access to insights on huge amounts of information without delay. With this data and the use of artificial intelligence in marketing, you can track current trends and alter your services for high-rate and profitable advertising solutions.
Optimise your marketing & sales efforts by targeting those potential clients who will bring your company most revenues. Define the right leads for yourself based on your business data and use it for lead quality prediction. It will allow you to be proactive, decreasing time to your targets and reducing marketing and advertising costs spent to less valuable for your business clients.
Better consumer behavior prediction – 89%
The client is a large beauty company. They contacted InData Labs to implement AI for marketing initiatives. They asked our team to analyze data and extract valuable insights from it. As a solution, we integrated our custom ML models into their platform.
It results in leveraging insights from customer reviews and better understanding the customer. Using our analytics solution, they managed to increase consumer behavior prediction by 89%.
Influencer behavior prediction increased by 91%
The client is a digital marketing agency. They needed bespoke influencer marketing software development. The InData Labs team developed a platform (both backend and frontend) and integrated predictive analytics and NLP in there.
As a result, we’ve created a marketing platform that caters to the client’s needs. The solution provides real-time analytics, competitor brand analysis, influencer recommendations, etc.
User engagement increased by 91%.
The client asked for a solution to estimate users’ activity and engagement.
Our team proposed to build a social media analytics platform that will monitor user engagement rates, process queries and provide user-centric recommendations.
As a result, the client’s got a solid social media analytics platform that meets all the requirements.