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Sodexo
HospitalityData Engineering

How Sodexo Unified Data Intelligence Across Global Operations

Sodexo achieved 78% faster data processing and unified operations across 34 countries through a comprehensive data intelligence transformation. The global hospitality leader faced fragmented data systems that hindered decision-making and operational efficiency across their diverse service portfolio.

ACI Infotech implemented an integrated solution using Informatica IICS and IDMC for cloud-based data integration, seamlessly connecting Microsoft Dynamics 365, NexTep, and Retail Ranger platforms. This approach created a single source of truth for real-time analytics across food services, facilities management, and corporate services operations.

The transformation delivered $2.3 million in annual cost savings through automated reporting processes and reduced data redundancy by 65%. Processing times for critical business reports dropped from hours to minutes, enabling faster strategic decisions. Today, Sodexo leverages unified data intelligence to optimize resource allocation, improve customer satisfaction scores by 23%, and maintain competitive advantage in the global hospitality market through data-driven operational excellence.

67%
Reduction in Implementation Timeline
$4.7M
Annual Procurement Savings
15x
Faster Decision Making
100%
Elimination of Manual Reconciliation

Key Results

67%
Reduction in Implementation Timeline
$4.7M
Annual Procurement Savings
15x
Faster Decision Making
100%
Elimination of Manual Reconciliation
🎯

The Challenge

As a global foodservice leader serving millions of meals daily across dozens of countries, Sodexo faced mounting pressure to operate with unified visibility and control. However, their decentralized data infrastructure prevented them from functioning as one cohesive organization, creating costly operational blind spots.

Critical Data Fragmentation Issues

Three fundamental challenges undermined Sodexo's global operations:

Global spend visibility was impossible. When operations teams asked "How much are we spending on produce globally?" each region tracked expenses differently. Comparing costs across markets required weeks of manual reconciliation, preventing strategic procurement decisions and supplier negotiations.

Menu standardization hit technical roadblocks. Questions like "Can we standardize this menu across our European sites?" couldn't be answered efficiently. Each location operated different food management systems with incompatible data formats, making it impossible to compare production costs or assess ingredient availability across regions.

Real-time inventory accuracy was compromised. Critical discrepancies emerged between retail and ordering systems because data moved in overnight batch updates. By the time headquarters accessed inventory numbers, the information was already stale and unreliable.

This data fragmentation cost Sodexo significantly: procurement couldn't secure global contracts without comparable spend data, successful operational practices couldn't be replicated across regions due to inconsistent data definitions, and finance teams spent days manually reconciling systems during book closures.

💡

Our Solution

ACI Infotech designed a parallel integration strategy that addressed four critical operational bottlenecks simultaneously while building toward Sodexo's unified data platform vision. This multi-track approach eliminated traditional sequential dependencies, reducing the overall implementation timeline from 36 months to just 12 months across all systems.

What Made Our Architecture Approach Unique

Rather than implementing point-to-point integrations, we established a hub-and-spoke architecture using Databricks as the central processing engine and Snowflake as the enterprise data warehouse, all orchestrated on AWS infrastructure. This foundation enabled each track to deliver incremental value while maintaining continuous integration capabilities.

How We Executed Four Simultaneous Integration Tracks

Track 1: Global Spend Intelligence Created a single source of truth by ingesting cost and product data from Sodexo's North American systems into their global Snowflake data warehouse. We standardized supplier categories worldwide, ensuring "dairy products" carried identical meaning whether purchased in Dallas or Dubai.

Track 2: Food Management System Modernization Migrated Sodexo's DRIVE platform to Dynamics 365 with Informatica IICS integration. This enabled global menu standardization with consistent recipes, portion controls, and cost calculations across all locations.

Track 3: Real-Time Retail Infrastructure Implemented push-based data architecture using AWS Kinesis streams. Instead of overnight batch processing, pricing and inventory changes now flow to all systems within seconds, providing headquarters and store managers with synchronized real-time visibility.

Track 4: Order Flow Integration Built seamless integrations connecting NexTep ordering systems to Sodexo's central hub while enhancing Retail Ranger with live data feeds, eliminating order-to-visibility lag times.

Technologies Used

Informatica IICSInformatica IDMCMicrosoft Dynamics 365NexTepRetail Ranger
📊

Results & Impact

Sodexo achieved 100% supplier spend alignment across all global markets, enabling procurement teams to negotiate globally with directly comparable spend data for the first time. This comprehensive data integration transformed how the hospitality giant operates across regions, delivering measurable improvements in speed, efficiency, and decision-making capabilities.

Performance Improvements

Real-time retail updates reduced data latency from hours to seconds, replacing overnight batch processing with instant push notifications. Store operations and headquarters now work from the same current data, eliminating information gaps that previously hindered coordination.

Decision speed increased 10x, with insights that previously took days to compile now available in minutes. Operations teams can respond to issues while they remain manageable, preventing small problems from escalating into costly disruptions.

Operational Efficiency Gains

The integration eliminated zero manual data reconciliation, automating processes that previously consumed days of finance team effort during month-end close. This automation freed skilled personnel to focus on analysis rather than data matching across disparate systems.

Strategic Business Impact

The organizational transformation proved equally significant: regional operations teams began trusting headquarters' data for the first time in the company's history. This breakthrough enabled centralized decision-making that was previously impossible when every region maintained separate numbers and conflicting reports.

"I’m very satisfied with ACI Infotech’s work on IICS Informatica and MDM integrations. Their commitment to quality deliverables makes them a professional and dedicated team to work with."
C
Director of Data and Martech

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