Consulting & Advisory
Consulting Services
Advanced Analytics
Strategy experience and analytical expertise combine to enable decision making and create value
Strategy
Custom designed solutions that deliver results and achieve sustained growth
Digital Transformation
Deliver on core strategy, delight customers and operate smarter, faster & agile organization
Business Process Optimization
Realignment of Business Process to get/ensure Optimized and effective business functions
Change Management
Organization readiness to adapt and prepare for business operations, processes, technology changes
Advanced Analytics
Customer Sentimental Analysis
The algorithms go through all the meaningful layers of speech. All the spotted sentiments belong to certain categories or buckets and degrees.
The output is the sentiment rating in one of the categories mentioned above and the overall sentiment of the text.
Price Optimization
The algorithm presupposes customers segmentation to define the response to changes in prices. Thus, the costs that meet corporates goals may be determined.
Using the model of a real-time optimization the retailers have an opportunity to attract the customers, to retain the attention and to realize personal pricing schemes.
Fraud Detection
The algorithm developed for fraud detection should not only recognize fraud and flag it to be banned but to predict future fraudulent activities.
Using the data analysis mechanisms within fraud detection schemes brings benefits and somewhat improves the retailer’s ability to protect the customer and the company as it is.
Inventory Management
Powerful ML algorithms and data analysis models detect patterns, correlations among the elements & supply chains via constantly adjusting parameters for optimal stock and inventory strategies.
The analysts spot the patterns of high demand and develop strategies for emerging sales trends, optimize delivery and manage the stock implementing the data received.
Recommendation Engines
Recommendation engines proved to be of great use for the retailers and e-commerce platforms as the tools for customers’ behavior prediction.
Various types of data such as demographic data, usefulness, preferences, needs, previous shopping experience, etc. go via the past data learning algorithm.
