Retail
Leadership in retail today requires embracing customer data to form enduring relationships and provide relationship-driven experiences.
Leadership in retail today requires embracing customer data to form enduring relationships and provide relationship-driven experiences.
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
Different customers have different needs. C5i’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.
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.
As a real-time view into consumer intent, C5i’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.
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.
Obtain a true read on consumer attitudes with C5i’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 C5i’s Social Analytics.
Leverage C5i’s 360-degree approach to intelligence on retail competitors, using data from diverse sources with automation and applied AI-based solutions and accelerators.
Earn customers’ loyalty and enhance their experience at every touchpoint. Analyze and orchestrate retail journeys. Leverage C5i’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.
01
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.
02
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).
03
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.”
04
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.
05
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.
06
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.
07
Automated Insights from Business KPI-focused Data Sets – using Discovery
Automate data aggregation and insights for a range of purposes, from Customer Service and Customer Satisfaction improvement to CXO-level decision-making, with the Augmented Analytics platform, 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.
Building an Analytics Foundation to Consolidate Data across BI Platforms for Strategic Decision-Making
Single View of Multi-Brand Customer Data with Automated Reporting Insights
Multi-channel Insight for Enhancing the NPS by Optimizing Distribution Center Web
The Rebound to Personalization Post Data Security Norms
Product Assortment and Up sell Optimization for a Leading Global Footwear Firm
Leading retailer in US
NPS search analysis for a leading retailer in the US
Digital Customer Journey Mapping for a Large Retailer
Marketing Spend Optimization
