Amandeep

ID: 1385

About Me

Associate Vice President, Antuit Inc I specialize in developing analytical business solutions to improve Customer Loyalty, CRM, Direct Marketing and Category Management. With 10+ years of experience in working with Retail (mainly grocery) and CPG partners in various countries and at various positions; I know what it takes to build analytical solutions and get them implemented successfully. I believe that the key to successful adoption of a new concept or idea is to collaborate with end users from day one. This is exactly what I enjoy the most about my job; working closely with businesses (and IT) to understanding their strategic and tactical needs. Examples of some of my projects are Marketing Optimization Engine (Weekly direct marketing to millions of customers), New Loyalty Program launch, Customer and Basket Segmentation (Customer Loyalty, Price Sensitivity, Lifestyles, Shopping Missions, Profitability, Lifetime Value), Executive Reporting, Price Optimization, Promotions Rationalization and Category Review.

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Skills description

CRM

Customer Relationship Management (CRM or CRM system) denotes applied software used for organizations of all types and is aimed to automatize strategies of interaction between customers to increase sales, optimize marketing strategy and improving supplement. The key advantage of CRM systems is its ability to keep information concerning clients and their history, business processes and their further study. The center of CRM philosophy is client and all key measures are taken to improve quality of company service. To support these business purposes CRM should include storage and analysis information about vendors, consumers, partners and inner processes of the company. To reach top goal data is taken from phone calls, emails, events, meetings, social networks etc. Today there exist many CRM systems (cost-free and paid). They are divided into four types: strategic, operational, analytical and collaborative. AOG offers CRM experts with solid experience in CRM systems development. Request our talents and progress in your business.
Predictive Analytics
Predictive or forecasting analytics is, first of all, a variety of statistics methods, data analysis and game theory applied for the analysis of current and historical information to ensure future data prediction. The most popular application of such an analytics is credit scoring which helps to estimate the client’s creditworthiness when issuing loans in the bank. Here it goes about how to avoid walking twice in the same river: any credit scoring is based on the historical facts, so if a group of clients has previously failed to repay loan on time and you somehow have similarities with this group, then your application for credit will likely be turned down. But this is just one of the spheres where predictive analytics is applied; it can be also used for product design, targeted audience selection, next best offer, etc. If you still don’t use predictive analytics, we would recommend you to take a closer look at these techniques as they can essentially enhance your business efficiency.

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