SPARE PARTS PRICE OPTIMIZATION 
The sales price optimization of the produced auto spare part is calculated. 
It processes historical spare part data, pricing points, product demand and competitor pricing with B2Metric. 
It uses pricing and non-pricing factors to provide the most appropriate pricing result.

RESIDUAL VALUE MODELING

It estimates the general depreciation from the purchase to the sale of the used vehicle. 
Predicts vehicle sales value by considering market metrics and artificial intelligence. 
It compares the two vehicles and proposes the most optimum sale suitable for rental and sale.

2nd HAND VEHICLE ONLINE MARKET FOLLOWING 
Thanks to optical character recognition, it automatically identifies images such as license, invoice, driver&#39;s license and ID and speeds up data entry. 
Digitize your images, documents and other files automatically.

&nbsp;

Residual Value Modeling

STOCK OPTIMIZATION 
It estimates raw materials and stocks and optimize purchasing and storage. 
Reduce inventory costs by reducing out-of-stocks. 
Provides reduced storage. 
Artificial intelligence plans supply chain process

 
PRODUCTION DEMAND FORECAST

It optimizes the spare part raw material stock produced. 
Dealers and auto services anticipate future product demands. 
It makes sales estimations of up to 90% per second-hand vehicle spare press produced and sold. 
It optimizes the performances of the campaigns.

Stock Optimization and Production Demand Forecast

Fraud is one of the most common problems in the insurance and finance sector. According to Gartner report released in Q1 of 2022, in the U.S.A. $ 1.5 T per year is spent only on health insurance and the fraud cases are increasing day by day especially after Covid-19. Therefore, both insurers and customers have faced huge financial losses.

&nbsp;

As <a href="https://b2metric.com/" style="text-decoration:none">B2Metric</a>, <a href="https://b2metric.com/machine-learning-studio" style="text-decoration:none">B2Metric ML Studio Auto-ML</a> platform helps you to overcome this problem. We collaborated with <a href="https://www.be-almerys.com/" style="text-decoration:none">Almerys</a>, one of the largest payment companies in France. For detailed information, you can visit <a href="https://b2metric.com/blog/AI-Based-Fraud-Detection-for-Healthcare-Insurance-Industry" style="text-decoration:none">B2Metric&rsquo;s blog post</a> on the subject.&nbsp;

&nbsp;

B2Metric participated in the organization organized by the EU-based REACH incubator and held in Paris on 19-20 May. B2Metric identified the frauds of opticians in France. In the study, Paris is the city where fraud cases are the most common area. The B2Metric team determined that approximately 1000 opticians regularly earn unfair profits. The team presented the solution on the subject by using AI-based machine learning applications to reduce the amount of fraud cases in the eyewear industry.<a href="https://www.youtube.com/watch?v=F6WKhZSqRhI" style="text-decoration:none"> Click</a> for the demo video of the platform.

&nbsp;

The solution called B2ML Studio Hunter helps the process in the insurance sector to work quickly and accurately. It produces significant solutions such as customer risk scoring, customer churn forecasting and fraud detection.&nbsp;

&nbsp;

To learn more AI-based machine learning specific solutions for the insurance industry offered by B2Metric Studio, you can click <a href="https://b2metric.com/tr/insurance" style="text-decoration:none">here</a>.

<ul>
	<li>For detailed information, visit <a href="https://b2metric.com/blog/AI-Based-Fraud-Detection-for-Healthcare-Insurance-Industry" rel="noopener nofollow" target="_blank">B2Metric&#39; blog post</a> on the subject</li>
	<li>Click <a href="https://b2metric.com/register" rel="noopener nofollow" target="_blank">here</a> for the registration and use B2Metric AutoML platform.</li>
	<li>Click <a href="https://b2metric.com/machine-learning-studio" rel="noopener nofollow" target="_blank">here</a> to review B2Metric AutoML.</li>
	<li>Click <a href="https://www.gartner.com/reviews/market/data-and-analytics-others/vendor/b2metric/product/b2metric-machine-learning-studio" rel="noopener nofollow" target="_blank">here</a> for B2Metric&#39;s Gartner Peer Insight comments</li>
	<li><a href="https://www.youtube.com/watch?v=F6WKhZSqRhI" rel="noopener nofollow" target="_blank">Click to watch</a> B2Metric AutoML solution for Fraud Detection in Healthcare Insurance</li>
</ul>

B2METRIC HUNTER AUTO-ML:  FRAUD DETECTION SOLUTION FOR HEALTH INSURANCE and PAYMENT SYSTEMS

<h1>What is Fraud?</h1>

&nbsp;

Fraud is one of the challenging problems for the insurance industry.&nbsp; It impacts not only on every type of insurance from non-life insurance to health insurance but also on their customers due to added payments and costs. Furthermore, it also affects society in general because insurance fraud could be used to fund criminal activity. Day by day the number of cases of it has been increasing, especially after Covid-19. Thus, this increase in insurance fraud cases has resulted in huge financial loss annually for both insurers and customers. This is the reason the problem should be solved.

&nbsp;

&nbsp;

<h1>The Market Size and Growth of Insurance and Fraud&nbsp;Marketplaces</h1>

&nbsp;

Healthcare fraud is an international issue. There has been a significant rise in the population seeking health insurance in different countries all around the world. For instance, as per Statista, 297 million people in the United States had health insurance in 2020, an increase from approximately 257 million health insured people in 2010. The global fraud detection and prevention market size is USD 25.66 B in 2021. The market is expected to grow from USD 30.65 billion in 2022 to USD 129.17 billion in 2029. AI has an important role for healthcare fraud detection. It may enable new opportunities for the both global and local fraud analytics industry.&nbsp;

&nbsp;

<h1>Fraud Cases</h1>

There are different types of fraud cases all around the world. For example, fraud can be committed in insurance, banking and&nbsp; healthcare sectors etc. The cases include providing incorrect and incomplete information in applications for insurance or answers on an insurance form or submitting claims for a loss based on untruthful situations. Drug fraud, medical fraud and insurance fraud are in healthcare fraud cases.&nbsp;

What is far more common, however, is the type of fraud that the private healthcare sector encounters regardless of the jurisdiction. A sample of these are:

&bull; Upcoding

&bull; Unbundling

&bull; Unnecessary medical intervention/tests etc

&bull; Misrepresentation

&bull; Fraud

&nbsp;

&nbsp;

<h1>The Consequences of Fraud Detection Cases</h1>

&nbsp;

Insurers take action against those that commit fraud. The results can include:

&nbsp;&bull; Non-payment of claims

&nbsp;&bull; Cancellation of the insurance policy

&nbsp;&bull; The insurer seeking costs incurred (for example for experts in assessing the claim)

&nbsp;&bull; Subsequently being unable to obtain insurance and other financial services

&nbsp;&bull; Making a report of the case to the police for further investigation&nbsp;

&bull; A criminal record

&nbsp;

<h1>How B2Metric Helps?</h1>

&nbsp;

The approach to identifying insurance fraud also differs among countries.&nbsp; One of the ways to reduce fraud detection cases is the adaptation of&nbsp; machine learning techniques to allow for developing predictive accuracy.

B2Metric is revolutionizing the detection and management of fraud by delivering unparalleled AI-driven insights to help health plans take action with a high speed and accuracy. With B2Metric, your plan can identify the highest value cases in a short period of time and deliver on top priorities in areas such as: medical, opticianry and pharmacy.&nbsp;

B2Metric Auto-ML provides insurance specific features for the industry such as customer risk scoring, churn prediction and fraud detection problem solutions. One of the products of B2Metric called B2ML Studio Hunter enables users to automatically discover, visualize and narrate important findings (such as correlations, exceptions, clusters, drivers and predictions) in datasets, without requiring people to build data visualizations, create models or write algorithms. &nbsp; Augmented capabilities are differentiating features in platforms across D&amp;A. They&rsquo;re also a key factor accelerating the convergence between analytics and data science.&nbsp;

&nbsp;

<img alt="Bu resim için metin sağlanmadı" src="https://lh6.googleusercontent.com/QlFWyXdnP9mL1FrNBsvgUCI9e_PLhFTclqSiCKWeD4oPr1o-fCa-hlgNdNhjus0FYLgvKP_UvxSJiH7HqxWY-_2IjG4KQrzT4_XKWt6Lt6aUSftogXWGsuYhlr3ZPmnejQChXUM" />

&nbsp;

&nbsp;

<h1>How to work it in such a case?</h1>

&nbsp;

At first, the data scientists analyze the data and create project planning for the MVP version of B2Metric Hunter Fraud Detection platform. It&rsquo;s a SAAS online platform that can be instantly implemented as an on-premises solution to any Healthcare Insurance companies.

First of all, we try to understand the variables representing various behaviors and properties of optics and their relationships with each other. It also has some logic errors like negative customer ages or negative brute prices, so they all have to be cleaned up before exploratory data analysis and ML modelling.

After that, the scientists have ingested the datasets into B2Metric ML Studio Data Ingestor then run Fraud models and the details of models are explained in detail in the sections below.

&nbsp;

<img alt="Bu resim için metin sağlanmadı" src="https://lh5.googleusercontent.com/3u411HdV1u5e8xIdfK31UwH23Z3duFY6FJbvgDfy4kW8T-HbtiSKSPP1qUVWmREEJtb2z0LrU72Q7IeMHEt4b6KPvG8Vv57fbXwSBwPY_adT4KxIbGDyXh8QlnDIpRAq36EmtQg" />

&nbsp;

B2Metric Auto-ML Hunter fraud use case user flow diagram indicates briefly the user personas and flows diagram below.

<img alt="Bu resim için metin sağlanmadı" src="https://lh5.googleusercontent.com/65gZ_sI3cn5CJz4Z8Ic3W2XG39_aTtCS6xdrRjnnXnpMSfl_FNDDQy61aWONTT67f1JBMQ2f8Qa14ZPurRyFY2O7bs2z5Q1iUMbocWnQ-WKG9JSESvP6qNzB3YG2_xXxoVN9bSU" />

&nbsp;

B2Metric Auto-ML Fraud models training, retraining and prediction mechanism works the system below. This training module runs these following steps:

B2Metric Auto ML Hunter Fraud Alert Platform Design

<ul>
	<li>The platform allows you to upload data to be modelled from your database like Amazon DynamoDB, Oracle, PostgreSQL, MsSQL, MySQL, Stripe, Google Analytics, Google Big Query, SAS or from your computer as a CSV, XLS(X), TXT, PARQUET file.</li>
	<li>You can run the supervised based classification or regression models, unsupervised based clustering models and anomaly detection models on the platform.</li>
</ul>

&nbsp;

<img src="https://lh4.googleusercontent.com/jI7nETB_3CumrULz5NhlIohvf8CvlEvEztuWDLwkRHMl9OAmr7ZdBaDGCYuSgX4D0GNxMJ1QqLGeMAjEcvdThY8Z9sU7Fqgoe3pzhy8sH-6s2e_KFCJR79vzOhGpy0kLueTbBpU" />

&nbsp;

During the ML modelling and statistical insights generation for the use case of DATA SCIENCE/ DATA MANIPULATION IN ORDER TO GAIN INSIGHTS FROM THE MARKET with the data of &lsquo;Historical data of reimbursement requests from opticians to insurance companies&rsquo;. Algorithms and conclusions of technical details are listed below.

1.Exploratory Data Analysis: Referring to the critical process of performing initial investigations on data so as to discover patterns,to spot anomalies,to test hypotheses and to check assumptions with the help of summary statistics and graphical representations.

2.Cluster Analysis: Identify its various customer segments, and then conduct cluster analysis to see if any such segments share similar characteristics (e.g. objectives, pain points, perceptions, demographics, preferences, etc.) that are distinctly different from other segments.

&nbsp;

<img alt="Bu resim için metin sağlanmadı" src="https://lh3.googleusercontent.com/RJYnVkMEUD6jvZsp64QzgxUAPD82vVHoc2jtm5SGjif2u5wFk8M4kh8pD5iSmz6TsIzgWYULfXl1bWGtAL6ux7ZAy5CmhETZRpr1NT1Rq68AEMaVxpmqUVEySDy5xiBrmXQb17A" />

&nbsp;

&nbsp;

3. Factor Analysis: Shed light on what combination of aspects, characteristics or priorities are most important to a certain type of customers (group).

&nbsp;

4. Discriminant Analysis: Predicting membership in a group (or population or cluster) based on measured characteristics of other variables. Subsequently, it is requested to be based on the previous results (market analysis, etc.) to: Extract outliers from the dataset (according to several axes of analysis). Carry out an in-depth analysis of these data to identify fraud movements

&nbsp;

5. Fraud Detection using Multiple Regression: Predict the value of a variable based on changes to two or more variables. For the reason that the target feature is categorical, it will be a classification model.

&nbsp;

6. Adaptive Learning &amp; Continues Learning of Fraud Models: Continues learning and auto retraining for fraud models is one of the crucial points for the new clients, new opticians and transactions data generated. Here is the system architecture below has designed for Almersy&rsquo;s Fraud modelling adaptively learning solution in B2Metric Auto-ML Hunter framework.

&nbsp;

As B2Metric, we apply software quality assurance which is a process which works parallel for the development of our AI based AutoML systems and Fraud platform software. It focuses on improving the process of development of software so that problems can be prevented before they become a major issue. Software Quality Assurance is a kind of Umbrella activity that is applied throughout the software process.&nbsp;

&nbsp;

Software Quality Assurance has:&nbsp;

<ul>
	<li>A quality management approach,&nbsp;</li>
	<li>Formal technical reviews,</li>
	<li>Multi testing strategy,</li>
	<li>Effective software engineering and data science technology,</li>
	<li>Measurement, reporting and A/B, unit testing mechanism.</li>
</ul>

&nbsp;

These are the possible risks that can happen during the projects but we have already found suitable ways to handle these problems within our team.&nbsp;

&nbsp;

&nbsp;

Check out B2Metric&#39;s automated machine learning approach:<a href="https://b2metric.com/automl/"> https://b2metric.com/automl/</a>

&nbsp;

Check out B2Metric&#39;s IQ Analytics mobile app user predictive analytics solution:&nbsp;<a href="https://b2metric.com/iq/">https://b2metric.com/iq/</a>

&nbsp;

&nbsp;

<img alt="Bu resim için metin sağlanmadı" src="https://lh5.googleusercontent.com/D7QwoZRZ11-v-lR4T_Iiw5DIUYBiAqhaa9ORh-rp0huZBMEnFna4sr6p-kJaJFEAyhbQ4F9Tjkwn0yJ8-9snIeHo5XP5BRpDbgMwZIDtQ07LAgx304P8SQpPB0vAribOYRArG5E" />

&nbsp;

B2Metric has been recognized by world&rsquo;s leading management consultancy company Gartner. You can read Gartner Peer insights in B2Metric&rsquo;s review here:<a href="https://www.gartner.com/reviews/market/data-and-analytics-others/vendor/b2metric"> https://www.gartner.com/reviews/market/data-and-analytics-others/vendor/b2metric</a>

&nbsp;

If you are looking for an Automated Machine Learning solution for your organization, you can learn more information about this predictive and understandable tools for your industry:<a href="https://b2metric.com/register/"> https://b2metric.com/register/</a>&nbsp;

&nbsp;

#automl #machinelearning #b2metric #artificialintelligence #opportunities #insurance #healthcare #frauddetection #predictiveanalytics #B2MetricIQAnalytics

AI-Based Fraud Detection for Healthcare Insurance Industry

We will be attending the REACH Incubator to showcase our solutions in Paris, France in the next week! 🚀 
 
📅 Join us on May 19-20, Let&#39;s have a coffee in Paris and talk about Auto-ML and AI Systems for Customer Journey Analytics.&nbsp; 
 
About&nbsp;<a href="https://www.linkedin.com/company/reach-incubator/">Reach Incubator</a>: REACH, the &ldquo;European incubator for trusted and secure data value Chains&rdquo;, is an Innovation Action project funded by the European Commission and launched in September 2020. REACH aims to be the main innovation mechanism that supports experimentations on secure and trusted data value chains across several sectors and the launching of new data-fuelled products and services to the market, leveraging the capacities of the best data-driven DIHs in Europe. 
----

 
Nous allons participer &agrave; REACH Incubator pour pr&eacute;senter nos solutions &agrave; Paris, en France, la semaine prochaine!🚀 
 
📅 Rejoignez-nous les 19 et 20 mai. 
Prenons un caf&eacute; &agrave; Paris et parlons d&rsquo;Auto-ML et de Syst&egrave;mes d&rsquo;IA pour l&rsquo;analyse du parcours client. 
 
&Agrave; propos de&nbsp;<a href="https://www.linkedin.com/company/reach-incubator/">Reach Incubator</a>: REACH, &laquo; l&rsquo;incubateur European pour des cha&icirc;nes de valeur de donn&eacute;es fiables et s&eacute;curis&eacute;es &raquo;, est un projet d&rsquo;action pour l&rsquo;innovation financ&eacute; par la Commission europ&eacute;enne lanc&eacute; en septembre 2020. 
REACH vise &agrave; &ecirc;tre le principal m&eacute;canisme d&rsquo;innovation qui soutient les exp&eacute;rimentations sur des cha&icirc;nes de valeur de donn&eacute;es s&eacute;curis&eacute;es et fiables dans plusieurs secteurs. Ce projet a pour lancer de nouveaux produits et services aliment&eacute;s par les donn&eacute;es sur le march&eacute; et pour accro&icirc;tre les capacit&eacute;s des meilleurs DIH ax&eacute;s sur les donn&eacute;es en Europe.

&nbsp;

You can&nbsp;<a href="https://b2metric.com/tr/register" rel="noopener noreferrer" tabindex="-1" target="_blank">r</a><a href="https://b2metric.com/tr/register">egister</a> the platform! 
 
<a href="https://www.linkedin.com/feed/hashtag/?keywords=artificialintelligence&amp;highlightedUpdateUrns=urn%3Ali%3Aactivity%3A6930900981119385600">#artificialintelligence</a>&nbsp;<a href="https://www.linkedin.com/feed/hashtag/?keywords=b2metric&amp;highlightedUpdateUrns=urn%3Ali%3Aactivity%3A6930900981119385600">#b2metric</a>&nbsp;<a href="https://www.linkedin.com/feed/hashtag/?keywords=rtuitidigitalinnovationhub&amp;highlightedUpdateUrns=urn%3Ali%3Aactivity%3A6930900981119385600">#RTUITIDigitalInnovationHub</a>&nbsp;<a href="https://www.linkedin.com/feed/hashtag/?keywords=machinelearning&amp;highlightedUpdateUrns=urn%3Ali%3Aactivity%3A6930900981119385600">#machinelearning</a>&nbsp;<a href="https://www.linkedin.com/feed/hashtag/?keywords=frauddetection&amp;highlightedUpdateUrns=urn%3Ali%3Aactivity%3A6930900981119385600">#frauddetection</a>&nbsp;<a href="https://www.linkedin.com/feed/hashtag/?keywords=innovation&amp;highlightedUpdateUrns=urn%3Ali%3Aactivity%3A6930900981119385600">#innovation</a>&nbsp;<a href="https://www.linkedin.com/feed/hashtag/?keywords=healthcare&amp;highlightedUpdateUrns=urn%3Ali%3Aactivity%3A6930900981119385600">#healthcare</a>

B2Metric is in Paris at REACH Incubator Organization to showcase its unique solution

In this digital age, businesses need to meet the demands and needs of their potential or existing customers in time in to gain a significant market share in the market. One of the ways to achieve this is to provide an insight from customer data, which is very valuable in this period. However, businesses need to adapt artificial intelligence-based business models to the business&#39;s system in order to process this data. At this very point, the B2Metric ML Studio AutoM-ML platform helps&nbsp;to&nbsp;businesses to have an advantage.

&nbsp;

B2Metric ML Studio Auto-ML platform automates the AI/ML-based data analytics processes of many national and international companies in 8 different sectors, especially in the finance and banking sector. Thanks to the B2Metric ML Studio Auto-ML platform, companies provide fast solutions to their complex problems in a shorter time with artificial intelligence and machine learning-based technology, ten premise-based software and service. With artificial intelligence technologies, analytical processes such as data collection, data cleaning, data processing make sense of large raw sales, customer movements and financial data; optimizes&nbsp;and enables them to increase their profitability by making future forecasts.

&nbsp;

<img src="https://lh5.googleusercontent.com/k46-y4wBhUImNXvzFgHvIBdtmHRxYv-hOKzkGmj03QFL8NjbIsK28bywP4-W-gxTW6S-hrm9uZx5ONpwFIaKxROg4nDq5eIOTMkbephteLaUaaggoiliw5ftrV1pXQ2me3lb-N0" />

&nbsp;

<h2>B2Metric AutoML-Aktif Bank AI Based Data Analytics Integration</h2>

AutoML platform&nbsp;services to companies from start to finish by using AI&nbsp;technology in many different areas such as risk management and forecasting, price optimization, customer activity review, sales and demand forecasting, customer churn forecasting and so on.

Offering B2Metric ML Studio AutoML platform, Aktif Bank, one of the largest investment banks in Turkey, has added to its customer portfolio. Together with Aktif Bank&#39;s CRM Data Analytics team, B2metric ML Studio&nbsp;provides services to Aktif Bank with its AI/ML-based data analytics product in order to measure its strategies and develop new strategies. 
At the same time, the B2Metric ML Studio AutoML platform provides an important insight for businesses to develop strategies by performing credit portfolio and risk analysis, which is one of the most important issues in the finance industry. It offers analyzes such as customer micro segmentation of businesses, increasing user acquisition rate and reducing customer loss. Depending on the problem solved by the modeling established by this technology, it has an accuracy rate of up to 90%. With its high efficiency, machine learning modeling projects are completed in 4 times shorter time and reduce the operational costs of enterprises by 1/3.

&nbsp;

You can&nbsp;<a href="https://b2metric.com/tr/register" rel="noopener noreferrer" tabindex="-1" target="_blank">r</a><a href="https://b2metric.com/tr/register">egister</a> the platform!

Aktif Bank Auto-ML Integration

The fact that customer data is available in a mixture of various sources often poses a problem. Therefore, managing them manually will be time-consuming and will incur additional costs. With AutoML, the handling of Big Data will be much easier. Therefore revenue will increase. B2Metric can turn your customer data into business insights and can use that information to make intelligent decisions, predict outcomes, suggest actions and automate tasks based on machine learning.

 
&nbsp;

Big Data Analytics

One of the goals of businesses is to decrease their customer churn rate in all industries including the telecom sector. To reduce and manage the customer churn rate, first of all, businesses should understand&nbsp; why customers churn as well as which customers churn. After that they should develop strategies to convince the customers to stay. B2Metric AI prevents your customer churn rate by %20 to %50 with robust Churn prediction models that make efficient service.

 
&nbsp;

Customer Churn Prevention

There are two different selling techniques called Cross-selling and up-selling. Upselling tries to sell the product with an upgrade version to already existing customers. On the other hand,&nbsp; Cross-selling tries to sell another product and give a product to already existing customers. B2Metric AI AutoML technology helps retailers to raise product sales revenue and profit. It uses these two techniques and increases the introduction of the products to its customers. Also, recommending the best product to the customer by looking at your previous sales increases the amount of future sales.

 
&nbsp;

Product Recommendation and Cross-Selling

One of the best ways of customer communication and interaction are AI applications in the retail industry because it analyzes the customer&rsquo;s movements while the progress and improves the best customer communication on e-commerce sites. At this point, B2Metric AI is there to predict customers&rsquo; next step, make providence and create the best option for them. After learning the next step, organizations create close relationships with their customers, get real-time recommendations for each sales unit and lastly, earn/save money and sources that is the best option for them.

Customer Propensity Prediction

<ol>
	<li>Run B2Metric AutoML for all customer to get best user micro segments.</li>
	<li>Predicting and reporting of persistency metrics of customers.&nbsp;</li>
	<li>Manage campaigns among to current user with the best accurate models.</li>
	<li>Optimizing Customer Acquisition Cost (CAC)</li>
	<li>Increase up to %20 web user engagement</li>
</ol>

Increase Customer Life Time Value

<ol>
	<li>Run B2Metric Customer Journey Analysis AutoML personalized match recommendation engine.</li>
	<li>Predict which leagues and matches can be the most favorable for each customers.</li>
	<li>Recommend new matches and leagues to customers new matches.</li>
	<li>Increase cross-sell rates up to %15 to current customer.</li>
</ol>

Best League & Match Recommendation Engine

Technologies such as the connected car, smart solutions, and artificial intelligence (AI) has ushered in an era of new products built on analytics. B2Metric creates a continuous business learning infrastructure for budget optimization. With high-quality data, the price optimization models determine whole price distributions along with various variables that can help you determine the best price for your business goals. Personalize the price with B2Metric cross modeled dynamic pricing.

Spare Part Stock & Price Optimization For OEMs

One of the best ways of customer communication and interaction are AI applications in the banks because it analyzes the customer&rsquo;s movements while the progress. At this point, B2Metric AI is there to predict customers&rsquo; next step, make providence and create the best option for them.

Customers&rsquo; needs and demands can change daily or monthly in all industries including the finance industry. Businesses need to reduce the customer churn rate because it directly affects income and profit of businesses and creates dissatisfaction among people using the product and service, so in order to decrease the customer churn rate as well as create engagement with customers, businesses should critically analyze their customer experience and journey during the process. By using B2Metric AI prevents your customer churn rate by 10%, gives insight for a specific period of time and offers efficient and effective services for your business.&nbsp;

 
&nbsp;

Customer Churn Prediciton

<ol>
	<li>Run B2Metric Customer Journey Analysis AutoML to generate personalized content for each customer segments.</li>
	<li>Send the customized and targeted SMS / Web Push Notification / Mobile Push Notification to every customer.</li>
	<li>Increase customer Repeat Purchase Rate %20</li>
</ol>

Targeted Push Notification With AI

Unless the excess electricity provided is converted into other forms, it cannot be stored and causes additional costs. In addition, excessive demands cause the energy supply line to become overloaded. For these reasons, estimating consumption correctly is vital for the energy sector. B2Metric AutoML infrastructure predicts future energy consumption with high accuracy and prevents these possible negativities in the energy supply process.

 
&nbsp;

Energy Consumption Prediction

<ol>
	<li>Run B2Metric Customer Journey Analysis AutoML product among of all betting users.</li>
	<li>Predicting and reporting of which users actually needs a promo codes.</li>
	<li>Do not send promo code &amp; gift money to each of your customers.</li>
	<li>Optimize marketing budget.</li>
</ol>

Know What Each Customer Want With AI

Fraud is one of the problems occured in the energy sector. With real-time anomaly detection, a possible fraud is prevented. Anomaly detection can prevent a minor problem from becoming overwhelming. Also, detecting anomalies in energy consumption helps reduce wasted energy and better decision making to promote sustainable and energy efficient behavior. Real-time learning from the data acquired from the field to understand the type of power loss such as fraud, connection issue etc. B2Metric detects anomalies in real time with its AutoML infrastructure. With B2Metric real-time notification generation where potential power losses are detected and sent to Electric T&amp;D companies. It allows you real time monitoring and control

 
&nbsp;

Anomaly Detection & Fraud Prevention

With the B2Metric IQ Analytics dashboard, real-time energy consumption data, marketing prices such as PTF, YEKDEM, the natural gas tariff that is effective in determining the energy price, and metrics such as weather conditions and average precipitation that affect energy consumption are reported for you in real-time on a single screen. Visualization, analysis and application of field data related to energy and distribution operation are provided with the real-time data monitoring and control feature provided by the B2Metric IQ Analytics Dashboard platform.

 
&nbsp;

Data Visualization and Real Time Reporting for Energy Consumption and Price

Artificial intelligence has made the concept of maintenance from being preventive to predictable. AI uses and analyzes historical and sensor data. Potential problems are easily detected before they arise through machine learning. With anomaly detection modules, thousands of data points are monitored and changes are detected

Predictive Maintenance with Anomaly Detection

Risk management is in doubt in banking and finance companies, brokers and other finance services. Only preparation for cash flow or financials on bad days is a wrong opinion . The part of credit risks ensures services concentrate on helping management, reporting of the credit risk description. Financial market places depend to develop prediction models nevertheless they consist of the natural risks. However, B2Metric AI helps you filter all proposals to get the best customer portfolio and earn 20% extra profit annually. Another advantage of using B2Metric AI is Cash flow optimization. It is the process of controlling, analyzing and managing spends and expenses. B2Metric AI helps your financial services infrastructure to redesign with Automated machine learning. It is important because if cash flow optimization is doing well, management can&rsquo;t control spends and earnings that causes a problem as well.

 
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Credit Risk Analysis

Customers&rsquo; needs and demands can change daily or monthly in all industries including the retail industry. Businesses need to reduce the customer churn rate because it totally has&nbsp; an huge impact on income and profit of businesses and creates dissatisfaction among people using the product and service, so in order to decrease the customer churn rate as well as create engagement with customers, businesses should critically analyze their customer experience and journey during the process. By using B2Metric AI prevents your customer churn rate by 10%, gives insight for a specific period of time and offers efficient and effective services for your business. Organizations using B2Metric AI optimize customer loss with real-time reporting, predict churn constantly from customer interaction data and create interpretable and understandable machine learning models

 
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Machine learning algorithms are efficient in detecting fraudulent behavior with anomaly detection of data. The power of AutoML-driven fraud detection solutions is derived from their ability to process large sets of data. The general rule is the more data is better, which consequently improves the accuracy and effectiveness of the analysis. B2Metric uses several data sources, both internal and external, to help identify fraudulent behavior in real-time with its anomaly detection modules.

 
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Fraud Detection with Anomaly Detection Modules

One of the best solutions for customer communication and interaction is the applications of machine learning in all sectors including the Telecommunication industry. Organizations can analyze their customer movements so that they can take action in the future. B2Metric helps businesses about how to use machine learning and learn deep insight from it. It is much more effective and efficient to predict and procure customers&rsquo; further step and offer the best option for them

 
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There are two different selling techniques called Cross-selling and up-selling. Upselling tries to sell the product with an upgraded version to already existing customers. On the other hand,&nbsp; Cross-selling tries to sell another product and give a product to already existing customers. B2Metric AI AutoML technology helps insurance to raise product sales revenue and profit. It uses these two techniques and increases the introduction of the products to its customers.

Cross-Selling New Insurance Product Range

One of the common pressing use cases in the insurance industry is Fraud Detection and Prevention. Recognizing and finding fraud patterns are not easy due to taking more time and effort but if you have more data, the systems of AI improve the accuracy and efficiency of the analysis. B2Metric AI studio uses different types of sources both internal and external in order to help insurers identify fraudulent behavior.

 
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Fraud Detection and Prevention

<h1>Underwriting Risk Management with Artificial Intelligence</h1>

The progress of claims is located in the core of the insurance organizations. Even just tiny developments can reduce processing time and raise accuracy rate which drive a great impact for organizations. Time is one of the biggest valuable resources for all businesses. So, using B2Metric Hunter to predict the claims with deep learning that minimize your mistakes.

 
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Risk Management

All industries including the insurance industry need to reduce the customer churn rate because it directly affects income and profit of businesses and creates dissatisfaction among people using the product and service, so in order to decrease the customer churn rate as well as create engagement with customers, businesses should critically analyze their customer experience and journey during the process. By using B2Metric AI prevents your customer churn rate by 10% and offers efficient and effective services for your business.

 
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Read our stories to learn more about key b2metric use cases, industries, values ​​and customers.

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Read our stories to learn more about key b2metric use cases, industries, values and customers.