1 Web Street Machine Learning developers have the expertise in helping companies resolve complex business issues by facilitating data, make better decisions and build optimal business models.
Our experts carry out data mining, data classification and analysis to build productive models that use Machine Learning Algorithms. Track consumer behaviour and trends, access candidate application, customize marketing campaigns and much more with our ML-based applications.
We are here to facilitate your operations using advanced Machine Learning solutions based intelligent use of data. Our expertise lies in converting raw data from legacy systems and big data providers into actionable models.Our experts use Predictive Analytics to forecast business outcomes using relevant data and computing them with Machine Learning and statistical algorithms.
We engage in data classification, regressions, density estimation, clustering and dimension reduction analysis. Our ML engineers build applications using ML algorithms & pattern recognition, computational intelligence and predictive analysis that automate and enhance your operations.
We gather data from relevant sources and correlate it to business issues, classifying only those that can improve business models.
We build models, train and test them and integrate with your system.
Predicting product demand is one of the key parameters to business success and is seen as a challenge for e-commerce portals. A custom coded Machine Learning solution can analyse parameters and past product attributes. The algorithms select and collect historical data to build a predictive model.
With demand and pricing complementing each other, the model can also integrate dynamic pricing. Sellers can select offers, optimal pricing and real-time discount of products for maximum business returns.
A virtual assistant powered by Machine Learning Algorithm solution that integrates directly with clients’ existing system can be trained to rationalize emerging data. The solutions takes over traditional resume screening using standardized parameters to select and shortlist candidates without bias or prejudice. It identifies desirable elements by way of pattern recognition scanning through a mass of data reducing recruitment downtime and cost per hire to a bare minimum with maximum efficacy.Get in Touch
Machine Learning solutions for the Fintech sector provide better risk management and faster loan approvals.
An ML application’s algorithm works on a vast range of borrowers’ data and carries out complex calculations giving a better insight into borrowers’ abilities to pay back the loan. The software can process several layers of data in less time without being reliant only on conventional income data and expenditure data. The software can access and process relevant customers’ data from several sources for a secure prediction of customers’ solvency.