Data · AI · Commerce · Creative

Turn scattered data into a decision engine.

We build data lakes, modernize SAP analytics and put AI agents on your ERP data, then grow revenue with e-commerce, creative and search. Senior teams, U.S. hours, fixed-scope pilots.

6 wkstypical pilot to first value
U.S. hoursEastern and Central aligned
9services across data and growth
Fixedscope and success metric up front
Platforms and technologies we work with
SAPMicrosoft AzureAWSGoogle CloudDatabricksTableauPower BILookerGoogle AnalyticsVTEX
SAPMicrosoft AzureAWSGoogle CloudDatabricksTableauPower BILookerGoogle AnalyticsVTEX
What we do

Two practices. One goal: growth you can measure.

Data and AI on one side, brand, commerce and demand generation on the other, sharing the same measurement.

Data, analytics & AI

Growth, commerce & creative

How data flows

From source systems to decisions, governed end to end.

Use cases

Where our clients start.

Representative scenarios that mirror the work we do. They are not named client case studies.

Consumer goods & distribution

Demand forecasting for a distributor

Planners rebuild spreadsheets every week and stock-outs still surprise them.

Approach
  • Land SAP and point-of-sale data in a governed lakehouse
  • Baseline current forecast error
  • Add a forecasting model with a planner override
What we measure

Forecast error against baseline, stock-outs, inventory days.

Manufacturing & services

One version of the truth for SAP Business One

Five reports show five different revenue numbers, and month-end takes days.

Approach
  • Extract Business One data on a schedule
  • Build one semantic model with agreed metric definitions
  • Publish certified dashboards in Power BI
What we measure

Time to close, report reconciliation effort, dashboard adoption.

B2B and consumer brands

Marketing measurement tied to revenue

Ad platforms and the CRM disagree about what worked.

Approach
  • Clean GA4 events and consent handling
  • Export GA4 to BigQuery and join CRM revenue
  • Report cost per qualified lead and pipeline by channel
What we measure

Cost per qualified lead, pipeline by channel, lead-to-opportunity rate.

See all use cases →

A typical pilot

Six weeks from kickoff to something your team uses.

Every engagement starts with a fixed-scope pilot and a written success metric. Here is how the weeks usually break down.

W1W2W3W4W5W6
Discover and baseline
Ingest priority sources
Model and quality tests
Dashboards or agent
Test, train, hand off
Where are you today?

Five stages of data maturity.

Most companies sit at stage two. We meet you where you are and build only what the next stage needs.

01

Spreadsheets

Data lives in files and inboxes. Every number needs a person.

Most common starting point02

Reports

Standard reports exist, but each system tells its own story.

03

Governed lakehouse

One trusted store with quality tests, lineage and access control.

04

Metrics layer

Shared definitions and self-service, so dashboards agree.

05

AI-assisted decisions

Agents and forecasts run on governed data with human review.

What changes

The same work, in a fraction of the time.

Weekly reporting efforthours
Manual
24
Automated
3
Time to answer a new questiondays
Before
5
After
0.5
Reconciliation errors per montherrors
Before
12
After
2

Illustrative example of a typical automation outcome. Not a client result.

Enterprise data & AI framework

A six-part operating model, not a one-off project.

Assess, plan, implement, improve. Each engagement starts where your maturity is and builds only what the next step needs.

Data & AI governance

Policies, roles and controls for data quality, privacy and responsible AI use, with traceability.

Data management

Architecture that integrates sources, improves quality and gives one trusted source of truth.

Data modernization

Move off legacy systems to cloud lakes, lakehouses and faster pipelines, with MLOps.

Operation & evolution

Run analytics and AI products through their lifecycle: monitoring, change, continuity.

Mindset, literacy & culture

Data and AI literacy at every level, so the tools actually get used.

Products & value creation

AI-driven analytical products, agents and LLM applications that open new revenue.

GovernanceManagementModernizationOperationCultureProducts
Today (example)12-month target (example)

Illustrative profile.

Consumer goods & distributionLogistics & transportPharma & healthcareConstruction & real estateManufacturingAgriculture & foodRetail & e-commerceHospitality & travelFinancial servicesEducation
Affiliate companies

Twenty years of delivery, now with a U.S. front door.

MLT Corp is the U.S. business of a group of affiliate companies in Lima and San Jose. What they deliver for Latin America's biggest brands, we deliver in the United States: same senior teams, U.S. contracting, U.S. hours.

Data · SAP · AI

Medialab Tech

Lima, Peru

Data and analytics, SAP Business One and S/4HANA, and AI. Runs our data and SAP delivery bench.

Visit site →
Marketing · E-commerce

Media Lab

Lima, Peru · San José, Costa Rica

Digital marketing and e-commerce since 2002: media, SEO, social, VTEX stores and app design.

Visit site →
Integrated advertising

Olístico

Lima, Peru

Integrated advertising with a digital heart: strategy, production, activations, PR and inbound.

Visit site →

Credentials of our affiliate companies

VTEX partner agencyGoogle PartnerMeta Business PartnerBest E-commerce Agency, eCommerce Awards Peru 2025VTEX Grand Prix 2021, Partner Best PerformanceSAP Business One & S/4HANA delivery

Selected brands our affiliate companies have served

Client work delivered by our affiliate companies Medialab Tech, Media Lab and Olistico in Latin America. Credentials as published by those firms.

Nissan
Mitsubishi Motors
Lexus
Maserati
BCP
EY
PeruRail
Inkaterra
Libertador Hotels
Cálidda
Cocos y Lucas
Makro
Vitapro
Loyalty
Aranwa
Las Dunas
BBVA Continental
Santiago Queirolo
Satelital
Medlab
PEX
Vainsa
Win
Open
Italgrif
Sole
PUCP
Reebok
Los Portales
Huando

See all clients and success stories →

Results from affiliate engagements

31x

Average ROAS on a two-campaign retail promotion for a luxury leather-goods brand, with 3,000+ conversions.

1x
14 → 8

Average Google position for a floral-delivery chain in three months after a technical SEO fix.

1,000%+

SEO return on investment in 2025 for a home-furnishings brand, with traffic up 40% in seven months.

100%
+20%

Investment efficiency for a home-improvement retailer after joining web and store data for remarketing.

Results published by our affiliate companies for their clients. Client names withheld.

Leadership

The people you will work with.

A U.S. executive team backed by the leaders of our affiliate companies.

James Lee

James Lee

Chief Executive Officer, MLT Corp (USA)

Leads MLT Corp's U.S. business and client relationships.

José Carlos Barrenechea

José Carlos Barrenechea

General Manager, Media Lab and Medialab Tech (Lima)

Co-founded Media Lab in 2002 and moved it to Lima in 2005. More than 22 years across marketing, technology, advertising and data analytics.

Renzo Rodriguez Moreno

Renzo Rodriguez Moreno

Director Comercial, Medialab Tech (Lima)

More than 20 years leading data and analytics practices: SAP data, governance, modernization and turning data into strategic decisions.

Miguel “Chino” Ormeño

Miguel “Chino” Ormeño

President and General Creative Director, Olístico (Lima)

More than 20 years as a creative director. Has led agencies across four countries and founded a U.S. Hispanic-market agency in 2007.

Insights

Practical notes from the field.

Plain-language guidance on data, SAP, AI, commerce and creative.

All insights →

Approach

Proof first. Scale second.

Discover

Two weeks mapping sources, questions and the one metric that matters.

Pilot

A fixed-scope build on your real data with a written success test.

Scale

Roadmap the next domains; governance, cost controls and training built in.

Run

Optional managed team with defined response times and monthly reviews.

Why MLT

Big-firm rigor without the big-firm invoice.

  • Senior engineers lead every engagement, not a pyramid of juniors.
  • U.S. Eastern and Central working hours, U.S. contracting and invoicing.
  • Deep SAP and Business One roots, plus modern cloud data stacks.
  • Fixed-scope pilots, plain-language reporting, no lock-in to our tooling.
  • Delivery bench in Lima and San Jose, in your time zone, with a track record across Latin America.
FAQ

Straight answers.

What does MLT Corp do?

MLT Corp is a U.S. data, AI, e-commerce and creative consultancy. We build data lakes and lakehouses, modernize SAP and SAP Business One reporting, implement Google Analytics 4 and BigQuery, ship AI agents on governed ERP data, and run e-commerce, brand and search programs.

Who do you work with?

Mid-market and enterprise teams, typically $50M to $500M in revenue, running SAP, NetSuite or other ERPs, including consumer goods, distribution, manufacturing, retail and PE-backed portfolio companies.

How are engagements structured?

We start with a fixed-scope pilot with a written success metric, then move to a phased roadmap or a managed team. You see working software in weeks, not quarters.

Are your teams in the U.S. time zone?

Yes. Delivery is aligned to U.S. Eastern and Central hours, with senior engineers leading each engagement.

Do you offer SEO, GEO and AEO services?

Yes. Our growth practice covers technical and content SEO, plus GEO and AEO so your content is cited by ChatGPT, Perplexity and Google AI Overviews, all measured in GA4 and BigQuery against pipeline.

Do you also do brand and creative work?

Yes. Brand strategy, integrated campaigns, video production, activations, PR, content and social run alongside the data practice, so creative decisions are tied to measured results.

Who delivers the work?

A U.S.-led team backed by our affiliate companies in Lima and San Jose: Medialab Tech for data and SAP, Media Lab for digital marketing and e-commerce, and Olistico for integrated advertising.

Do you work in Spanish?

Yes. Our team works in English and Spanish, and this site is available in both languages.

Start here

Tell us the question your data can't answer yet.

A 45-minute working session, no slides. You leave with a scoped pilot proposal.

hello@mltcorp.io · Or email us. We reply within one business day.