Audertec Solutions, LLP

DATA SCIENCE CREDENTIALS Audertec Solutions LLP OUR DATA SCIENCE INITIATIVES ADDRESSES COMPLEX BUSINESS PROBLEMS Better Financial Performance Better Decision Making Quick Decision on New Products & Services Better Sense of Risk Better Relationship with Customers Audertec Solutions LLP We Offers Skills & Scalability in… BIG DATA ENGINEERING DATA SCIENCE Big Data architecture through benchmarking, ELT and stack implementation, We have you covered!!! Predictive analytics, statistical modeling, algorithms, prototyping, and tool development are our passion!!! ANALYTICS Actionable insights through statistical analysis, visualization and dash boarding !!! Provide On-demand Data Science Services for clients requiring ADVANCED SKILLS, TEAM DEVELOPMENT, SCALABILITY & FASTER PROJECT IMPLEMENTATION Audertec Solutions LLP Data Science As A Service For Data Science Professionals WE PARTNER WITH OUR CLIENTS TO EXPAND THEIR DEPTH OF SKILLS AND IMPLEMENTATION OUTPUT DEEP SKILLS Our team has decades of experience in data science implementations focused in machine learning and AI. ON DEMAND We scale up experienced data architects, engineers & data scientists quickly to meet your implementation needs. DEEP Machine Learning Artificial Intelligence Natural Language Processing WORKFLOW Our agile implementation processes promote complete transparency and project accountability. Computer Vision COST EFFICIENT Our onshore/offshore models enables clean communication, rapid development and cost efficiencies. Deep Learning Audertec Solutions LLP Our Approach Our engagement philosophy is rather simple, understanding our clients analytic vision and partner with them to build the knowledge, skills and physical resources needed to implement LISTEN, LEARN AND PLAN SKILLS, EXPERIENCE, TEAM BUILDING Understanding client needs and goals set the work path forward. Partnership starts with mutual understanding and a plan! Client problems differ and skills to implement vary. We build uniquely qualified teams that drive specific client success! THINK, ANALYZE, SHARE, TEST, LEARN PROOF OF CONCEPT, BUILD, DEPLOY We deliver a proven 360 degree engagement process designed to deliver innovation and results. Insight not in action is opportunity lost! We have the skills and experienced team to make client assets actionable. SCALE AND SUCCEED We provide your team with the skills, experience and On Demand resource deployment to meet the market demands of your business. Audertec Solutions LLP Typical Outputs ❑ Architecture Evaluation, Testing, Implementation ❑ Predictive Algorithms, Recommenders, IP ❑ Team Deployment and Management ❑ Marketing, Supply Chain, Process Optimization ❑ Marketing Response Modeling ❑ Deep Consumer Behavior Analysis ❑ Testing and Evaluation ❑ Visualization and Data Analysis Audertec Solutions LLP KEY CASE STUDIES Audertec Solutions LLP INDUSTRY USE CASES FIN TECH ● ● ● ● ● ● ● Business Intelligence RFM Modeling (Recency, Frequency & Monetary) Loan Default Prediction for faster loan processing & low default rate Fraud Analytics using novelty detection Recommendation engine for cross/up selling Customer segmentation for target marketing ATM Location & Cash optimization Credit scoring for insurance approvals WEALTH MANAGEMENT INSURANCE ● ● ● ● ● Business Intelligence & Data Strategy Designing Personal Credit Scoring Risk Prediction Fraud Detection Customer & Real-time Analytics ● ● ● ● ● ● Business Intelligence Complete Visualization Stock prediction Engine Buy/Sell Suggestive Dashboard Technical Indicators analysis Prediction Past Performance indicators & analysis Audertec Solutions LLP INDUSTRY USE CASES RETAIL HOSPITALITY ● ● ● ● ● ● ● ● Revenue optimization – managing the occupancy scenario Seasonal Pricing optimization Customer segmentation Churn prediction Recommendation engine – food suggestion Customer loyalty analytics Customer/client Retention strategies Inventory optimization ● ● ● ● ● ● ● ● ● ● Retail promotion Customer segmentation Churn prediction Recommendation engine Retail promotion effectiveness –footfall analytics Inventory optimization Delivery optimization Revenue optimization Sales optimization Brand recall optimization MARKETING ● ● ● ● ● ● ● Marketing cost optimization Customer segmentation Recommendation engine Matching the demand to the supply Optimizing marketing/advertising campaigns Lead conversion optimization Churn prediction Customer/client retention AudertecSolutions Solutions2019 LLP Audertec KEY CASE STUDIES PROMOTION EFFECTIVENESS THE CHALLENGE A retail client wanted to measure the effectiveness of different promotions in increasing their market share. THE SOLUTION ● Forecast Market sales for individual products ● Forecast Sales for individual products ● Forecast Sales for product groups/categories ● Incorporate promotion attributes into each of the forecasts ● Measure halo, pull forward, cannibalization to compute item’s market share ● Measure statistical significance of effect of promotion on market share TECHNIQUES, TECHNOLOGIES, TOOLS ARIMA, Auto-Regressive and Recurrent Neural Networks, Random Forest, Croston Model, Poisson Regression, Ensemble Modelling Audertec Solutions LLP KEY CASE STUDIES IMPROVING IN-STORE MERCHANDIZE MIX THE CHALLENGE Our client, an Omni-channel retailer wanted to improve merchandising effectiveness in stores by using online customer data to drive overall growth of the business. Integrating online and offline transactions to improve inventory management. Determining the product mix at stores based on online transactions history. Forecasting sales for new products introduced in stores THE SOLUTION ● Developed a method to apportion online sales to physical stores. ● Estimated online/ offline sales volume ratio of products and test hypothesis ● Variability of online/offline sales volume ratio of products within store ● Variability of online/offline ratio of a product across stores ● Prediction of Offline sales and define significant sales volume, for this the model considered product attributes ● Improve the correlation between product level demand forecasts and sales at individual stores TECHNIQUES, TECHNOLOGIES, TOOLS Python, SQL server, Machine learning - Random Forests, Spark, Genetic Algorithm Audertec Solutions LLP KEY CASE STUDIES OPTIMISING DIGITAL MARKETING SPENDS BY PREDICTING CLV THE CHALLENGE Our client was facing a squeeze on profitability, given rising cost of acquisition through digital marketing on the one hand, and having to drop prices due to competitive pressures on the other hand. OUR APPROACH ● Typically, digital marketing spend is evaluated by looking at profitability per transaction ● Our data scientist suggested examining cost of acquisition through the lens of Customer Lifetime Value (CLV) ● Customer transactional behavior analyzed to segment customers ● Customer segmentation and historical transaction data used to build a model to predict the expected CLV of new acquisitions TECHNIQUES, TECHNOLOGIES, TOOLS Survival Analysis, Clustering, Regression, R, Java Audertec Solutions LLP KEY CASE STUDIES COMPETITOR INTELLIGENCE AND RIGHT PRICING THE CHALLENGE Our client was finding it increasingly difficult to monitor pricing of its competitors. With a planned expansion of its product offering, the problem was only set to get worse. Product Listing Ads has lowered the barrier to entry for new niche players THE SOLUTION ● Developed a spider that was web site agnostic that extracted price and product placement data ● Developed a dynamic pricing engine that could adjust product pricing based on competitor pricing ● Currently building a self learning system that can learn pricing rules for optimal pricing TECHNIQUES, TECHNOLOGIES, TOOLS Conditional Random Fields, Rules Engine and Java Audertec Solutions LLP KEY CASE STUDIES BIG DATA ENGINEERING FOR ADVANCED ANALYTICS THE CHALLENGE The client has multiple data sources and data platforms. Existing query and reporting systems unable to give them an integrated view of the business THE APPROACH ● Examined multiple data sources - textual, transactional data from their OLTP system, subscription and registration data, events data ● Evaluated multiple big-data infrastructure providers such as MapR, Cloudera, Horton Works and Pivotal ● Ingested data from the OLTP and brought it into Hadoop including real-time pipelines using Storm and Spark real-time API ● Incremental updates to data tables using reconciliation views ● Exporting data to Visualization tools TECHNIQUES, TECHNOLOGIES, TOOLS Hadoop, HIVE, Hbase, Spark, MLlib, R, Oozie, Storm Audertec Solutions LLP COMPUTER VISION - THE BACK-END TECHNOLOGY Computer vision - Vehicle counting and traffic pattern can help in giving insight for advertisement slots for outdoor advertising In a retail store, designing for right item placement of products based on people counting and their profile similar to concept of Amazon Go Audertec Solutions LLP ADAPTIVE ADVERTISING Audertec Solutions LLP OUR EXPERTISE - DEVELOPING CREDENCE BY ENSURING QUALITY STANDARDS WHILE WORKING WITH WORLD CLASS TECHNOLOGIES Audertec Solutions LLP THANK YOU !!! You can find Us at http://audertec.com/ For any questions?-Audertec Solutions LLP