Predict customer churn and take effective actions to retain customers before it is too late.
Leverage machine learning to tailor recommendations to each of your customers.
Achieve more profound customer understanding and improve customer marketing.
Leverage CRM data with predictive analytics to optimize customer lifetime value (LTV).
Connect to a large number of data sources, third-party applications, and existing MS suite and other systems with Power Apps integration.
Connect to a large number of data sources, third-party applications, and existing MS suite and other systems with Power Apps integration.
Respond to your business supply needs faster and more accurately.
Build a data-driven workplace through integrated business solutions encompassing Power BI, Power Apps, Power Pages, and Power Automate (Microsoft Flow).
Predict customer churn and take effective actions to retain customers before it is too late.
The InData Labs team can assist you in developing an advanced and innovative custom solution based on a proprietary model, which makes the development easier and less costly.
Our team of machine learning engineers and data science experts will help you to create a fully-automated model to address your business needs.
The global predictive analytics market size to reach $35.45 billion by 2027, growing at a CAGR of 21.9% from 2020 to 2027.
Allied Market Research
58% of enterprises are seeing a significant increase in customer retention and loyalty from using customer analytics.
Forbes
Post COVID-19 emergence, healthcare segment to witness significant growth owing to use of predictive analytics for precision medicine & genomics, population health & risk scoring, disease outbreak prediction, and more.
Allied Market Research
Customer analysis
Churn prediction
Demand forecasting
Medicaments stockout prevention
Hospital workforce load prediction
EHR analytics
Forecasting and planning
Yield prediction
Irrigation optimization
Predictive maintenance
Carbon emissions
Warranty reserve estimation
Route optimization
Predictive maintenance
Inventory management
Payment fee analytics
Credit scoring
Fraud detection
Our predictive analytics company comprises professionals in cutting-edge data science and machine learning techniques and approaches needed to solve any business issue.
We help choose the best ways of using predictive analytics and Big data in the client's field to ensure a more reliable decision-making process.
With our predictive analytics services, you can add artificial intelligence-driven features to your business operations. Get valuable insights from your data, understand it better, enhance performance, prevent cost overruns, and adopt new, efficient strategies.
Keeping your requirements and unique use case in mind, our team tailors and customizes solutions to your specific business needs and the nature of your data.
We make it easy to build excellent predictive analytics software.
We look for new ways to improve the output of our models for a better impact.
We plan for the future. Our predictive analytics consulting services and solutions scale up as per the growth of your business.
We are tuned to achieving greatness in everything we do for our clients.
The client, an E-commerce provider cooperating with more than 50 brands, was looking for a machine learning-based solution to generate single-brand recommendations to increase sales, revamp the customer experience, attract new clients, and retain loyal ones.
Our professional team provided the client with an AI-powered MVP to assist in solving a wide range of business-critical tasks.
Our client, a digital marketplace helping brands and influencers connect to impact audiences around the world, challenged us with the task of amplifying the functionality of an influencer marketing platform and enabling real-time social media analytics.
We helped the client to build an advanced influencer marketing analytics platform that enabled real-time analytics on the platform and brought powerful insights into social media user behavior.
The client, a debt collection agency, turned to us to improve their debt collection effectiveness with the help of predictive analytics.
We started working on an ML model to predict the probability of promise to pay from verified accounts. Our team delivered a predictive analytics model that accurately predicts the probability of promise to pay from an account and gives the client the ability to optimize collection agents’ time, allowing them to target the most promising accounts first.
Predictive analytics technology helps businesses grow by implementing customer-centric strategy and gaining insights from business data to better understand customer behavior, personalize offers and retain customers in the long term perspective.
Predictive analytics solutions help analyze, grow and retain loyal customers. Moreover, analytics aims for effective data-driven business decision making and risk scoring. Predictive analytics gives business owners data for building proactive business strategies.
Predictive analytics is used for customer churn prediction, product demand forecasting, marketing campaign optimization, dynamic pricing, anomaly detection, etc.
Every industry receives benefits from predictive analytics helping companies to act proactively and prevent risky events. Businessmen can leverage predictive analytics for effective customer analysis, churn prediction, inventory management, crop yield prediction, predictive maintenance, fraud detection in warranty claims, anomalous transactions detection and more. The use of technology makes a business data-driven and better equipped for market volatility. To know more about it, hit the link.
Predictive analytics collects past historical and present data to make predictions.
An average predictive analytics project starts at $15k and can reach $100k and many more. Vision, complexity and data available define the price of the project of this kind.
Drop us a line about your project or describe a challenge your company needs help solving. We’d love to discuss how InData Labs can work with you.
