CFO Actions Hub improves financial decision-making by utilizing AI and ML models to support CFOs in enhancing financial forecasting and making informed, data-driven decisions, using conversational AI and predictive analytics through a scalable high performance set-up.

The solution automates debit-credit matching, improves accuracy, and accelerates the reconciliation process. Built as a scalable Python-based tool, it is adaptable to multiple datasets, easy to maintain, and ensures long-term efficiency and consistency in handling transactions

An ML model that could shift through transactions filtered by the Fraud Chaser App to predict Fraud and Non-Fraud Cases for Client thereby reducing human efforts by 50%

Optimisation model to predict future container requirement at different nodes, inventory balancing

High‑performance R‑Shiny and Python‑based analytics platform designed to rapidly run complex analyses, accelerate insights generation, improve user interactivity, and enable faster, data‑driven decision‑making for business teams.

Automated React and Python platform that streamlines data ingestion, cleansing, feature engineering, and model training workflows, enabling faster experimentation, consistent pipelines, reduced manual effort, and scalable deployment of analytics models.

An ensemble of three models comprising Prophet, Machine Learning, and Causal Impact - For running A/B Testing with no control

Forecasting platform that runs scenario simulations across different price and promotion levels, enabling evaluation of demand impact, revenue trade‑offs, and margin outcomes to support optimal pricing and promotional decisions.

Machine‑learning–driven solution that identifies and quantifies the relative importance of each sales driver for a product, enabling focused interventions, improved performance management, and data‑driven optimisation of sales strategies.

Gen AI-based language translation tool from original language to English being used in invoice verification, processing, and helpdesk services.

Leveraging LLM capability to extract the information from webpage /share drive from an unstructured format to a structured format . It automatically detects the format and simplifies the extraction process. Boasts a simple desktop interface with a web browser-based UI for easy accessibility.

AIML neural network solution that Identify anomalies in MJE posting by analysing historical trend

Reduce cost per order and improve ship truck utilisation by enhancing productivity driven by reduction in number of manual order touches

AI‑enabled digital assistant that resolves employee queries through intelligent self‑service, automates routine HR interactions, provides contextual guidance, and reduces ticket volumes while improving response times, consistency, and overall employee experience.

Employee assistant that helps answer queries, process transactions, provide cognitive assistance and helps raise tickets & transfer to live agent support.

Reconciliation of the general ledger to individual cost centres for payroll payments/deductions 1. Extract reports from Oracle Payroll for the present and previous payroll period. 2. Identify discrepancies in the two payroll reports. If the discrepancy value exceeds the threshold prescribed by the organisation, then analyse, identify, and describe the reasons for the discrepancies.

Genome.ai uses AI-powered insights to map technical and future skills for every role, maintaining a skills inventory for all employees and offering learning path recommendations based on their roles and business demands

An AI enabled resume screening and job matching solution to efficiently process candidate applications and match them to multiple open requisitions based on skills, location and language

An unified intelligent Agentic AI solution that provides organisation wide HR information on a host of topics like Training, Hiring, DEI, Engagement

Deployment of AI coach - a “flight simulator” type of platform, where agents master call/chat types, specific soft skills as demanded by the business, as well as best & required practices

An Ops Accelerator that helps in productivity improvement and SLA achievement by giving personalised nudges basis performance data of agents.

Machine‑learning model that optimizes collections strategy by predicting customer payment behaviour, prioritising high‑risk invoices, recommending targeted actions to collections teams, improving recovery rates, reducing DSO, and optimising working‑capital outcomes.

Reduced overhead costs through automated variance analysis and early identification of cost overruns.

Valid/Invalid predictions: Faster dispute resolution and reduced write-offs by prioritising valid cases and automating invalid-case filtering

Higher deduction coding accuracy and lower manual effort through automated reason classification

Short and long term: Better capital allocation and risk management through forward-looking balance sheet item trends

Predictable deduction inflow volumes enabling staffing optimisation and proactive dispute prevention

Advanced machine‑learning–based demand forecasting solution that predicts future demand patterns by leveraging historical data, seasonality, and external drivers, enabling improved forecast accuracy, inventory optimisation, and proactive supply‑chain planning.

Monte Carlo simulation‑based safety‑stock optimisation solution that models demand and supply variability to determine optimal inventory buffers, reducing stock‑outs and excess inventory while releasing working capital and improving service levels.

Manufacturing network optimisation solution using Llamasoft to evaluate business constraints and future demand projections, enabling optimal plant sourcing, capacity allocation, cost reduction, and improved network resilience across the manufacturing footprint.

Created E2E KPI command centre for strategic insights to business

Built a new forecasting approach with an artificial neural networks to model the Worlds Largest Ecom Co driven variability

Analytics driven Control tower developed or enabling faster, smarter decisions—especially in high-disruption environments for fulfilment process

Deriving insights from structured data using genAI for Operational Expense analysis in FPNA

Net volume forecasting model for Revenue forecasting across multiple OUs to derive the volume analysis

Prediction of the Deductions for trade and promo invoices and analysis of the patterns with Gen AI

Creating Benchmarking for QSRs to determine the pricing of the incidence using Gen AI and ML algorithms along with a Chat bot

A Power Automate-based GenAI solution with AI Builder automates the QC process, ensuring 100% invoice verification before payment, enhancing accuracy and compliance with client requirements

Leveraging Power BI for financial modelling and a Co-pilot for generating FP&A narratives.

Extracts order information from emails/ attachments files and convert the unstructured info to a structured info , so that an automation solution can process the order in the ERP

Extraction & summarisation of invalid pricing claims by validating non-trade claims

Market Research & Supplier Discovery for Spot buys and delivering P&L benefits

AP Assist integrates with the ERP and uses conversational language neutralisation AI to interpret user requests, standardise intent, auto-route queries, and trigger workflows for faster, consistent, near real-time helpdesk resolution.

Gen AI solution over SNOW, reading and extracting email info / attachment info and converting the information to a structured format there by triggering the automations to take next steps

Gen AI and ML-enriched based invoice data extraction and classification; AI-based tagging and pairing, and Anomaly identification

AIML neural‑network solution that predicts whether invoices will be collected on time, enabling proactive collections prioritisation, targeted follow‑ups, reduced DSO, improved cash flow, and more effective working‑capital management.

AIML neural‑network solution that predicts whether invoices will be paid on time, enabling proactive payment monitoring, targeted supplier engagement, improved paid‑on‑time performance, reduced late‑payment risk, and stronger supplier relationships.

AIML neural network solution which predicts the GL & CC for the Non PO invoices helping in recurring cycle time of Non PO invoices by 40%

Use case definition and implementation of Genpact’s Order Assist solution automating order Exception Handling, Single Pane of Glass and Case Management

AI/ML based orchestration and automation platform to automate e2e manual orders/invoice entry solution to assist Customer Service teams to focus on strategic work; Synergy Neural network-based AI engine trained on large data set to extract data from diverse formats, auto learning from User corrections at field level

Machine‑learning model that forecasts accounts‑payable invoice inflow over an eight‑week horizon, enabling proactive capacity planning, staffing optimisation, workload balancing, and improved SLA adherence across AP operations.

Machine‑learning model that predicts accounts‑payable helpdesk ticket inflow over an eight‑week horizon, enabling proactive workforce planning, workload balancing, faster issue resolution, improved SLA adherence, and reduced operational bottlenecks.

Improved liquidity management and fewer cash shortages through accurate near-term and long-term projections

AI‑powered assistant that democratizes access to commercial business rules by translating complex logic into intuitive insights, enabling faster decision‑making, reduced ad‑hoc queries, and improved consistency across commercial and finance teams.

Always on real-time monitoring and reporting of opportunities and risks for client brands using AI to generate a summary as well as score threats and opportunity potential.

Brand and portfolio level, MMX model build, scenario analysis and optimisation of budget.

End‑to‑end solutions and services that enable a seamless omnichannel marketing experience by orchestrating customer interactions, personalising engagement across touchpoints, and optimising campaign performance to drive conversion, retention, and revenue growth.

Insights solution that combines descriptive and predictive insights along with Gen-AI based inquisitive query responses.

Design of experiment and identifying the impact of campaign at brand and portfolio level.

Propensity to prescribe, propensity to switch models to identify risks and opportunities and drive interventions.

Use of graph, ML, and network modelling to represent customer journey and identify interventions to reduce time for customers to become loyal.

Use ML models to identify the effectiveness of digital content as well as content flow to optimise engagement.

Decision‑tree–based analytics solution that automates CFR loss root‑cause analysis by systematically identifying drivers of service failures, enabling faster diagnosis, targeted corrective actions, and sustained improvements in customer fill‑rate performance.

Enabling cognitive medical document search solution by utilising Natural Language Processing (NLP) techniques

Automated, Agentic AI enabled CI tool for regular data synthesis & summarisation of targeted events

Analytics‑driven solution that aligns digital tactics to sales outcomes across customer journey stages, enabling targeted interventions, improved conversion, optimised multichannel engagement, and data‑driven optimisation of marketing effectiveness.

Gen AI and ML-based end-to-end processing automation AI-based complex exception management

Use digital tools and automation to drive transformation, reducing errors and increasing productivity. Deliver outstanding customer and user experiences by adopting a scalable operating model driven by top-notch processes and digital solutions.