|Industry||Computer Vision||Predictive Analytics||NLP||Data Capture/OCR|
Marketing & Sales
|Invoice, receipts processing|
|Healthcare document digitisation|
Sport & Wellness
|Sports performance analysis||Collection and analysis of sports fan feedback in social media||Automated documents processing|
|Customer sentiment analysis|
|Historical sales data and trends analysis||Automated data retrieval from invoices, receipts and other documents|
|Customer sentiment analysis||Automated documents processing|
Game & Entertainment
|Player churn prediction||Automated analysis of player reviews collected from forums and social media channels||-|
|Foreign language data cleansing and building data robustness|
|Automated documents processing|
|Customer sentiment analysis||Invoice data capture and automated documents processing|
|Insurance property cost evaluation||Sentiment analysis||Automated documents processing|
The client is a big construction company. They wanted to advance their AI-led platform for their users to enable efficient analytics and get insights from unstructured data. The platform also helps connect people and build business relationships. As for challenges, the data management was especially uneasy, because most of the data was raw. The major goal was to collect, analyze and process data in an easier way.
Our BI solution enabled smooth data management. With streamlined data processes, the client makes data-driven decisions, and achieves better business results.
The client works in the E-commerce industry. They contacted InData Labs for help with recommender engine development. They wanted to engage users better and increase sales through personalized recommendations.
We created an ML-based solution for process automation and customer experience boost. We’ve developed a custom model that recommends products for the users, and finds similar users based on product preferences. All of that makes the user experience comfortable and enjoyable, and improves customer loyalty.
The client is a beauty company. They wanted to enhance the process of collecting, analyzing, and processing data. Another challenge was to help them discover marketing insights faster. Our team suggested integration of our ML models package into the client’s platform.
Our marketing ML models provided the client with engagement tracking metrics and content performance analysis. Using them, the client better understands where to place ads. As a result, the beauty brand simplified data analysis, audience segmentation and customer behavior prediction.
The client has a pet app. They were looking for a face recognition company to develop dog face recognition and breed classification algorithms for the app. The challenge was about dog face datasets collection, and training algorithms to recognize dogs of the same breed.
We’ve provided the client with custom dog face recognition and breed classification modules. With this feature integrated in the app, it’s easy to find a lost dog and connect the person who found it with its owner.
The client is a world-known transportation and logistics company. They wanted to ease image recognition and manual data processing with the help of a computer vision company. The goal was to automate manual document processing with OCR.
The InData Labs team has developed robust OCR software for invoice processing. It’s resulted in a reduction in man-hours, streamlined processes and increased productivity. With the help of our team the client’s significantly reduced labour costs, too.
The client works in the sports industry. They produce dumbbells for smart and safe workouts. The client challenges us with a task of workout error detection. During this project, we’ve been doing human body detection and pose estimation in videos, making motion detection automated.
As a result, we’ve provided the client with pose estimation algorithms for dumbbell weight workouts. With this solution, the user can track the way he/she does exercises and get feedback on it. Our AI video analytics enables injury-free and safe exercise.
AI can help business owners address challenges, enhance their functionality and even reshape marketing strategy with the purpose to increase the bottom line.
There are many. Paperwork process automation, streamlined business workflow, strengthened security, anomaly detection, disease prediction, product demand forecasting, customer churn prediction, customer reviews collection and analysis, brand health monitoring, etc.
Every case is unique, but the price of the Investigation stage which allows validating the idea at an early stage and to deliver the initial piece (PoC/Discovery) ranges from 20-30K $.
AI-based solutions implemented provide marketing department with the comprehensive marketing analytics including:
AI is widely used in healthcare and provide the industry with incredible opportunities improving healthcare delivery including: