Building an AI-Enabled HR Workforce for a $681B Multinational Retail Giant

Discover How Draup Helped a US-Based Global Retail Enterprise Redefine HR Skill Architecture

2.1M+

Employee Count

$681 Bn

Revenue

Multinational Retail

Industry

Bentonville, U.S.

Headquarters

About the Company

The global retail enterprise operates across hypermarkets, discount stores, and grocery chains, managing a diverse global workforce. It partnered with Draup to drive HR transformation through Generative AI, unifying processes, enhancing analytics-driven decision-making, and future-proofing HR skills for an AI-enabled future.

Before Draup

1

Evolving HR Workload Structures

Traditional HR operations were manual, covering case management, policy audits, and compensation analysis, requiring redesign for automation and AI adoption.

2

Skills Gap in Emerging Technologies

Many HR professionals lacked AI and analytics experience, requiring a focused reskilling strategy to close capability gaps and enable AI-driven career growth.

3

Siloed HR Functions and Data Systems

Siloed HR systems across functions hindered data flow and insights, limiting visibility and the ability to anticipate workforce trends.

4

Reactive Learning and Development

Learning programs were primarily activity-based rather than outcome-driven, with limited personalization or integration into the daily flow of HR work.

The Core Challenges

Fragmented Skill Intelligence Across HR

Disconnected systems and inconsistent role definitions hindered unified transformation.

Lack of a Global, Data-Driven Framework

Scaling workforce and skills strategy globally needed a single, intelligence-backed model.

Limited Insight into Leading HR Benchmarks

The enterprise lacked visibility into how top HR organizations structure and use talent data.

Manual, Spreadsheet-Based Processes

Outdated methods restricted scalability and masked emerging HR capabilities.

The Solution

Human Resources Manager

PROFILE

LOCATION ANALYSIS

TALENT MARKET INSIGHTS

CAREER PATHS

DATA INTEGRATION

TECH STACK

AI-Driven HR Skill Taxonomy Expansion

The HR skill taxonomy was expanded using Draup's labor market data, incorporating Gen AI capabilities, and a unified Future Skills Library was developed for workforce strategy alignment.

HR Workload Evolution Dashboard

Created a Gen AI dashboard mapping traditional to AI-driven HR workloads, providing real-time insights on automation potential, efficiency gains, and readiness levels for data-driven HR decision-making.

Personalized Learning & Career Pathing

Gen AI-based learning recommendation systems were used to consolidate siloed HR data, integrating AI tools for decision-making and AI for compensation management.

Skill Gap & Readiness Analytics

Utilized Skill Gap Analytics to evaluate HR readiness, identify high-priority areas for upskilling, and refine the Learning Academy's Gen AI roadmap for measurable ROI and workforce transformation.