Retail

Voice-to-text Analytics and Sentiment Analysis

Client challenges Project scope Our client is a US customer-facing firm who wanted to convert the voice calls recorded at the customer service desk to text and then perform sentiment analytics on that text. Solution Speech-to-text Engine Datametica built a speech-to-text engine for the client to capture the sentiment of the conversation in the data. Examples of detected sentiments are anger, sadness, fear, surprise, trust, anticipation, disgust, and joy. Benefits Optimized performance Optimized performance of ...
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/ / Retail, Stories

Clickstream Summary

Client Challenges Project Scope Our client is a US consumer firm who wanted to track minor details of clickstream data such as product searches, search details, sort details, details of alternative image view, number of sessions, time spent per session, details of channel such as online or store and devices, such as mobile, desktop, tablet. Solution Platform Datametica built a platform to summarize clickstream details in a dashboard. Benefits Interest tracking Fine-grained tracking of customer ...
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/ / Retail, Stories

Sentiment Analytics

Client Challenges Project Scope Our Client, an American Retail Giant, had a requirement for analysis of unstructured business data generated from their Customer Service Desk. It comprises of Chats, Emails and Voice calls. They needed to capture the sentiments of the conversation (Anger, Sadness, Fear, Surprise, Trust, Anticipation, Disgust, & Joy) translated into data. Solution Dashboard & Charts Datametica implemented a solution which involved:
  • Dashboard
  • Sentiment Chart
  • Polarity Chart
  • Category Chart
Solution Speech-to-text ...
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/ / Retail, Stories

Foundation

Client Challenges Project Scope Our client is a large retailer. The client wanted a view of pricing, weather, geographical locations, IP addresses, product info, and clickstream data available all on a single platform. Solution 360-degree view layer Datametica built an exhaustive layer to give a 360-degree view of the complete information set mapped to a single geographic location. Benefits Analytics base Serves as the base for many kinds of analytics Customer view 360-degree view of ...
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Customer Product

Client Challenges Project Scope Our client is a large US consumer company who wanted a summary of their customer's interest in various products. Solution Customer profiling Datametica built a solution to do such customer profiling. This solution can trace the history of customer’s interest in a specific product which could be used for more conversions. This database is built on clickstream summary and customer transaction. Benefits Increased conversion Increased Conversion rate of a product for ...
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Customer Transaction

Client Challenges Project Scope Our client is a large US E-Commerce firm who wanted to keep a track of customer transactions daily. Solution Online customer transactions Datametica built a solution to summarize on-line customer transactions. This data is pulled from transaction tables from eCommerce and store point of sales transactions. These details include the quantity of sales and popular brands and many other metrics that are then used for marketing purposes in near to real time ...
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/ / Retail, Stories
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