Services - AI, ML, and Data Analytics

Practical AI Solutions for Real-World Business Needs

In a world where we are faced with incessant hype around Artificial Intelligence (AI) and are led to believe that AI will magically solve all kinds of problems, we at Customer Analytics, believe we can separate the facts from the hype and help you actually leverage the power of AI to address real world business needs - from AI enabled insights to AI agents assisting and automating business operations and more.

Our approach is built on a deep understanding of your business and its unique needs. We start by identifying and preparing the essential data and metrics to support your objectives. From there, we design the optimal combination of machine learning models, AI algorithms, and prompt engineering, backed by the necessary processing capabilities to achieve your goals effectively.

Our efforts in this area have been packaged into the following offerings:

AI Assist

360

AI Assist 360 encapsulates AI, Agentic AI and Business Process Automation techniques to address three critical needs:

Information:

Serving up actionable information instead of needing to search through numerous webpages

Interaction:

Being able to interact with data and information in natural language instead of poring through reports

Execution:

Initiating requests to execute actions without needing to switch between screens

Visit AI Assist 360 to Learn more.

AI-Augmented BI

Business Intelligence for the C-Suite

Traditional BI requires users to pore over pages of charts and reports to look for information. Our approach is to do the searching for you and deliver business level insights and summaries that the decision makers in the organization can readily relate to and act upon. This is on top of a BI layer which has all the details and can be readily accessed when desired. Further, a convenient natural language chat interface is available for deeper interaction.

Visit Retail AI Insights 360 to Learn more.

Services Offered

AI Solution Design

AI Strategy & Value Roadmapping

Readiness Assessment
Use-Case Triage
Business-Case modeling

Metrics and KPIs for modeling

Outcome Alignment
Success Criteria
Performance Tracking

Data Foundation & MLOps

Data Preparation for Analytics, ML, and AI

ETL
Feature Engineering
Labeling
Cleaning

Data Engineering & MLOps

Lakehouse Architecture
Feature Stores
CI/CD pipelines
Monitoring

Core AI / ML Development

AI Solution Development

Custom ML and AI System Design

Predictive modeling & Machine Learning

Supervised
Unsupervised
Ensemble Methods

Prompt Engineering & Task-Oriented AI Agents

Tuned GenAI Agents for Specific Workflows

Natural Language Chatbots

Context-Aware
RAG-Enabled Assistants

AI Services Integration

Embedding AI into Digital Platforms and Enterprise Systems

Retrieval-Augmented Generation (RAG) with proprietary data

Responsible & Regulated AI

AI Governance & Compliance

Bias Audits
Explainability
Regulated Industry
Artifacts

Model Risk Management

Drift Detection
Access Control
CI/CD pipelines
Audit Trails

Domains and Examples

Our solutions are spread over different domains such as retail, supply chain, manufacturing and education, and within these, over different levels such as organizational, regional and departmental.

Manufacturing & Industrial Ops

Preventive & Reactive Plant Maintenance
Optimal Manufacturing Run Size
Asset Utilization
Operator Performance Scorecard
Vendor Performance Scorecard
Inventory Optimization

Retail & Consumer Goods

Customer Clustering & Segmentation
Customer Characteristics Analysis
Demographic Profiling
Store Performance Analysis
Store Diagnostics
Customer Lifecycle Analytics
Web Analytics
Retail Association Analytics – Member vs Group

Supply-Chain & Logistics

Forecast Planner Performance
Dynamic Forecast Adjustments
Quadrant Analysis – Volume vs Margin
Inventory Optimization

Sales & Marketing

Sales Analysis & Forecasting
Campaign Response Analysis
Trade Area Analysis
Ad Effectiveness

Healthcare & Life-Sciences

Physician Referral & Loyalty Scoring
Patient Retention & Attrition Risk modeling
Payer-Plan Valuation & Revenue Forecasting
Revenue Cycle Risk Scoring

Types of Business Questions We Answer

Forecasting & Demand Planning

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How can I dynamically adjust my forecasts to minimize the demand-supply gap and optimize inventory?
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How do I measure forecast accuracy across planners and improve it over time?

Customer Intelligence

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What products are customers likely to buy, based on their previous purchases?
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What is the profile of my best customers—and who is likely to defect?
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How does online traffic correlate with in-store footfall and sales?

Healthcare & Life Sciences

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Which physicians are most loyal and likely to refer patients to my hospital?
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Which physicians are at risk of splitting their volume across competing providers?

Education & Workforce

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What is the profile of an average student—and which students are likely to drop out?
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What behaviors and attributes are typical of a high-performing faculty member?