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Predictive Analytics Solutions Development

Achieve unprecedented business gains working hand in hand with our predictive analytics company

How Our Predictive Analytics Models Can Augment Your Business

  • Churn Prediction

    Predict customer churn and take effective actions to retain customers before it is too late.
  • Recommender systems

    Recommendation System

    Leverage machine learning to tailor recommendations to each of your customers.
  • Customer Segmentation

    Achieve more profound customer understanding and improve customer marketing.
  • icon cost

    Lifetime Value Optimization

    Leverage CRM data with predictive analytics to optimize customer lifetime value (LTV).
  • Dynamic Pricing

    Optimize your pricing strategies to stay competitive and reduce revenue leaks.
  • Credit Scoring

    Improve the quality of your credit scoring models.
  • data analysis

    Demand Forecasting

    Respond to your business supply needs faster and more accurately.
  • bi implementation

    Marketing Campaign Optimization

    Boost your marketing campaign profitability with predictive analytics consulting.
  • Churn Prediction

    Acquiring new customers can be 15 times more expensive than retaining existing ones. That makes strategies built around churn and retention the most cost-efficient.

    We analyze your customer data to identify which customers are most likely to churn and why. With the aid of our solutions, you can implement an effective targeted retention campaign in a timely manner.

    Need help improving customer retention?
  • Recommender systems
    Recommendation System

    Recommendation systems allow companies to provide personalized offers and experiencess to their customers. Quality recommendations increase customer engagement and impact customer lifetime value.

    InData Labs’ solutions are adjusted and tailored according to each company’s KPIs.

    Need help improving the recommendation system?
  • Customer Segmentation

    The assumption that different customers have different wants and needs is nothing new. Therefore, segmented marketing campaigns are as much as 50 percent more successful than unsegmented ones.

    We help companies identify groups of customers seeking identical products or services and sharing common behavioral patterns to effectively divide a customer base into categories.

    We help create custom segmentation strategies that are relevant to specific business models and objectives. Companies can then proactively target the right customer at the right time with the right message.

    Maximize the impact of every marketing action!
  • icon cost
    Lifetime Value Optimization

    Lifetime value optimization starts from an accurate prediction of net profit that a customer generates throughout his or her interactions with your business.

    Each business model faces different challenges predicting LTV. We incorporate predictive analytics and machine learning to ensure valuable results for each of our customers.

    Maximize the value of every customer!
  • Dynamic Pricing

    Setting optimal prices is vital for any business, both online and offline. It is critical to react to every change in the market and find the optimal balance that keeps customers satisfied.

    Dynamic pricing is a perfect approach that helps find that kind of balance and makes the process of setting flexible prices much easier and faster.

    InData Labs can help you build a dynamic pricing solution powered by machine learning to make optimal pricing decisions in real-time.

    Start using intelligent pricing to drive sales and customer loyalty.
  • Credit Scoring

    Even small differences in the quality of credit scoring models can lead to economically significant differences in the performance of credit portfolios.

    We combine time-tested traditional data science approaches and advanced machine learning technology to build more accurate scoring models while preserving a simple interpretation of results.

    Need help improving the quality of your credit scoring models?
  • data analysis
    Demand Forecasting

    Improved demand forecasting can reduce inventory and boost service levels of almost any company.

    We build custom demand forecasting models that accumulate historical data with both internal and external factors which shape future demand trends. This approach guarantees that our clients get impeccable results.

    Need a highly accurate demand forecasting tool?
  • bi implementation
    Marketing Campaign Optimization

    With excellent data analysis, marketing professionals can better plan, develop, and implement future marketing campaigns. Predictive analytics gives marketers the analytical power to apply advanced marketing strategies that have more of an impact across a customer’s lifecycle and result in significant increases in revenue.

    Predicting the right time, channel, and the best offer to send to a given prospect are a few examples where InData Labs’ machine learning experts can help you achieve unprecedented business gains.

    Learn how we can serve as your insights team.
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What We Offer

We help our clients acquire the most suitable solutions and implement tailored tools to address their business needs.
  • Predictive Analytics Consulting

    We’re ready to consult with you and determine how your ML product could be improved and enriched with our predictive analytics services.

  • Predictive Analytics Software Development

    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.

  • Machine Learning Model Development

    Our team of machine learning engineers and data science experts will help you to create a fully-automated model to address your business needs.

Predictive Analytics Insights

  • 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

Industries

  • ecommerce

    Retail / E-com

    Customer analysis
    Churn prediction
    Demand forecasting

  • healthcare

    Healthcare

    Medicaments stockout prevention
    Hospital workforce load prediction
    EHR analytics

  • Agriculture

    Forecasting and planning
    Yield prediction
    Irrigation optimization

  • manufacturing

    Manufacturing

    Predictive maintenance
    Carbon emissions
    Warranty reserve estimation

  • logistics

    Logistics

    Route optimization
    Predictive maintenance
    Inventory management

  • finance banking

    Fintech

    Payment fee analytics
    Credit scoring
    Fraud detection

How We Build Predictive Analytics Models

  1. Define the Problem
  2. Data Extraction
  3. Exploratory Data Analysis
  4. Data Modeling
  5. Action
  6. Value
Note that integration of our ready-made models with its further customization to your requirements is possible.

We Are a Predictive Analytics Company Which Enables You to Dive Into Data-Driven Insights

Our predictive analytics company comprises professionals in cutting-edge data science and machine learning techniques and approaches needed to solve any business issue.
  • Use Case
    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.
  • Strategy
    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.
  • recommendation engine
    Custom Solutions
    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.
Need help with your project?

Why Work With Us?

We make it easy to build excellent predictive analytics software.
  • Deep Learning
    State-of-the-Art Models
    We look for new ways to improve the output of our models for a better impact.
  • Scalable Results
    We plan for the future. Our predictive analytics consulting services and solutions scale up as per the growth of your business.
  • Highly Experienced Team
    A Highly Professional Team
    We are tuned to achieving greatness in everything we do for our clients.

Customer Success

Predictive analytics module foe e-commerce

Building Predictive Analytics Module for E-Commerce Platform

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.

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Influencer marketing analytics platform development

Building Influencer Marketing Analytics Platform

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.

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Debt collection process improvement

Building Predictive Models to Improve Debt Collection Process

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.

View Details

Frequently Asked Questions

  • 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.

    • personalize recommendations
    • predict churn
    • score credits
    • segment customers
    • optimize prices
    • forecast demand
    • manage inventory
    • predict anomalies, fraud and many other
  • 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.

More Insights

10-21-2021

Predictive analytics: pros and cons

Humans generate about 2.5 quintillion bytes of data every single day. With so much information readily available, every data analytics company is scrambling to…
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9-16-2021

Personalized Care and Predictive Analytics: New Trend amid Pandemic

Predictive analytics in personalized care is much more than only treating and preventing disease. It is also about reimagining the healthcare system to better…
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12-16-2021

Predictive analytics in pharma: fundamentals and applications

Digitalization has generated an unprecedented amount of data for pharmaceutical companies. But to make the most of it, companies need a surefire tool with…
Read more
9-24-2020

How AI is Improving Predictive Analytics in Healthcare

Resistant to change, healthcare is now evolving with the speed of light. Driven by technology, it goes the extra mile to level up patient…
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12-1-2020

Best Healthcare Predictive Analytics Case Studies

Predictive analytics has been a goldmine for healthcare professionals for quite some time. With healthcare organizations starting to understand the importance of the technology,…
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2-23-2021

Predictive Analytics in Education: Improving Educational Offerings with Big Data

The question is not if schools and colleges will give kids valuable offerings, but what would they give if they knew their students’ futures?…
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2-4-2021

The Significance of Predictive Analytics in Business’s Sales & Marketing

Any successful business requires sales and marketing to operate together rather than as silos. It’s their collective responsibility to work alongside each other to…
Read more
1-7-2021

Predictive Analytics in Retail & E-commerce

Ever wanted to know what services or products your customers are likely to buy, in advance? Predictive analytics in retail might be the answer.…
Read more

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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.

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