Mercado Libre

Mercado Libre interviewed 2,000 employees in 4 days and achieved 3,471% ROI in the first month

No consulting firm can interview 2,000 people in 4 days. Facing a headcount freeze and complex multi-country operations, Mercado Libre used Horizon to reach 100% of its target functions across 5 countries, and move from manual discovery to measurable ROI 90× faster.

Industry:E-commerce / Fintech
Country:Latin America (5 countries)
Year:2025
2,000

Employees interviewed in 4 days

76

FTE Capacity Unlocked

$2.3M

Projected Annual Savings

<1 week

To first implementations

The Challenge

Mercado Libre, Inc., Latin America's leading e-commerce and fintech ecosystem, founded in 1999, operating in 18 countries with 84,000+ employees.

Initial situation: headcount freeze with 60-70 needed roles unfilled; 500+ contractors covering manual work. Multi-country complexity across Brazil, Argentina, Mexico, Colombia, and Chile. Manual discovery model meant months of interviews covering less than 1% of the workforce. Fragmented systems: SAP, ARIBA, PIC, CLM, Jira, BigQuery, Tableau, Apache, Bypass. Duplication overload: 600+ initiatives, many overlapping or misaligned.

Business objectives: liberate workforce capacity, shorten procurement/contract cycles, benchmark across countries, and ensure all initiatives delivered ROI greater than 150%.

Methodology

The Horizon Approach

Manual discovery model: months of interviews covering less than 1% of the workforce, requiring 100+ coordination hours per initiative. Cost of inaction: 12k-13k hours wasted annually, 76 additional hires required, vendor onboarding delays (30-45 days), and strategic initiatives slowed by duplication.

Horizon delivered full organizational coverage: 100% of key functions engaged vs. less than 1% sampling in consulting. Speed: 90× faster (4-day discovery vs. 11-20 weeks). Outcomes: ROI-validated initiatives, not static reports. Security fit: SOC 2, encryption, RBAC, anonymization, API integration with existing systems.

Full-scale discovery in days: AI agents interviewed 2,000 employees across Finance and related functions, covering 100% of targeted areas in 5 countries, versus the under-1% sample a traditional consulting engagement would reach. Transcripts fused with SAP/ARIBA/PIC + BigQuery/Tableau data to expose value gaps. 24 initiatives co-created with ROI, effort, and step-by-step roadmap. Auto-generated board decks, RFPs, process maps, Jira epics. Digital Twin monitors processes in real time, flagging leaks and duplications.

Kickoff
Discovery (4d)
Synthesis (≤3d)
Initiatives (≤1w)
First wins (<1w)

The Results

Impact highlights: $2.3M+ projected annual savings (12k-13k hours automated), 76 FTE equivalents avoided, 3,471% ROI achieved in the first month, 24 initiatives prioritized (all ROI >150%), first implementations live in under 1 week.

Cross-country benchmarking revealed hidden duplications and best practices. Proof of adoption: 80+ Superconsultant interactions, 200+ platform accesses across 20 users, 100+ stakeholders actively engaged in review processes.

Key Results

2,000

Employees interviewed in 4 days

76

FTE Capacity Unlocked

$2.3M

Projected Annual Savings

<1 week

To first implementations

Process AreaBeforeAfterImpact
RFP/RFQ Processing14-16h/month per person, manualAutomated integrationCapacity freed, fewer errors
Contract Cycles7-45 days<10 daysFaster revenue enablement
Vendor Onboarding30-45 days7-8 daysSupplier agility, compliance
Process Discovery11-20 weeks, <1% sample4 days, 2,000 employees, 5 countriesQuicker, better decisions

What People Said

We needed rapid evidence and clear ROI prioritization to decide where to focus first.

ST

Strategic Transformation Director

We went from manual interviews to full organizational coverage in days; we had immediate clarity on where to act first.

ST

Strategic Transformation Supervisor

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