• How do we efficiently acquire and retain customers?
  • How do we measure customer experiences across channels?
  • Are we providing our customers with relevant offers?
  • How can we increase authentication rates on our digital properties?

Increased revenue through cross-channel campaign optimization

Increase in customer registration and lift in revenue per customer

Reduction in Cost Per Acquisition through targeted marketing

Increase in return visitors and revenue lift due to personalized content

The Way Ahead for Retail: Playbook for the New Normal

Our Solutions

Segmentation & Personalization

Different customers have different needs. Course5’s Machine Learning (ML)-based clustering framework delivers relevant and actionable segments for your audience. And our AI-driven Personalization solution, Next Best Step, drives a learning, evolving, and cost-optimized experience across channels.

Customer Retention

Leverage real-time lift models that highlight the actions marketers can take to improve customer retention where there is high propensity to churn. Segment subscription customers into cohorts. Measure retention decay curves to discover what campaigns and experiences lead to retention.

Search Analytics

As a real-time view into consumer intent, Course5’s Search Analytics provides a window into emerging themes of interest. Identify real-time trends and forecast demand for products. Shape marketing spend based on consumer interests.

Campaign Analytics, Market Mix Optimization, Multi-Touch Attribution

Get the insights you need to optimize and execute campaigns in real-time. Our Campaign Analytics solution assumes a myriad of data sources. Spanning both digital campaigns and in-store trade promotions, we help you forecast and perform scenario analysis and report on effectiveness to all stakeholders in real-time.

Social Media Analytics

Obtain a true read on consumer attitudes with Course5’s Social Media Analytics, a multi-disciplinary approach that blends insights across research, technology, analytics, and business insights. Understand and act on market and consumer attitudes with Course5’s Social Analytics.

Market and Competitive Intelligence

Leverage Course5’s 360-degree approach to intelligence on retail competitors, using data from diverse sources with automation and applied AI-based solutions and accelerators.

Customer Experience Analytics

Earn customers’ loyalty and enhance their experience at every touchpoint. Analyze and orchestrate retail journeys. Leverage Course5’s out-of-the-box Natural Language Processing (NLP) engine to mine unstructured data. Increase Net Promoter Score (NPS) by identifying the factors that matter most to customers.

GenAI-based USE CASES

  • Content Generation for Marketing, Sales, and Website
    Craft tailored content that perfectly aligns with your customers’ unique needs and environments using finetuned Large Language Models (LLMs). Ensure your content resonates with the target audience, driving engagement and maximizing outcomes from marketing efforts.

  • Advanced Customer Chat
    Help your customers express their problems either through Text or Voice. Break down complex processes and provide answers in a simple and user-friendly way.
    Raise the efficiency of Customer Center Operations by equipping agents with a chatbot equipped with an adequate Knowledge Base (FAQ System).

  • Knowledge Repository Search
    Maximize the value derived from internal organizational data and external data to address crucial business inquiries. Optimize utilization of available data sources to make informed, data-driven decisions that have a positive impact on the business.
    Provide users with concise, relevant content and insights. Additionally, enhance user experience by enabling text-based or voice-based search through an interactive interface called “Avatar.”

  • Customer Insights from User Reviews/Feedback – using TXTSense
    Identify and analyze the key reasons for customer satisfaction/dissatisfaction based on user feedback/reviews. Get focused insights by product or product category. Get highly accurate insights based on key topic analysis, subtopics, and sentiment analysis using AI models.
    Reduce time taken to analyze data and quickly delve into deeper insights around a key topic using sub-topic extraction.

  • Multi-dimensional Search and Knowledge Extraction – using SuperSearch
    Provide enterprise users with comprehensive insights based on the organization’s internal knowledge sources which may be siloed and spread across many repositories within the organization. Get insights from structured and unstructured data sources with contextual search results, with a content summary, key topics, and visual insights.
    Redefine the way your enterprise users search and consume content for decision-making with Conversational access to insights.

  • E-commerce Product Data Reconciliation – using Rekoncile
    Automate the process of manual matching of SKUs based on product descriptions. Use the Generative AI-powered Natural Language Processing (NLP)-based solution, Rekoncile, for – Named-Entity extraction, disambiguation and reconciliation of Product data; AI-based SKU ID mapping and categorization based on an item’s description; Data aggregation and SKU mapping based on entity matching; SKU classification for a unified view; and more.

  • Automated Insights from Business KPI-focused Data Sets – using Course5 Discovery
    Automate data aggregation and insights for a range of purposes, from Customer Service and Customer Satisfaction improvement to CXO-level decision-making, with Augmented Analytics platform, Course5 Discovery, powered by Generative AI. Reduce time-to-insights for various business functions with improved quality of insights. Scale adoption of analytics and insights with contextualized insights accessible in conversational modes.