AI Planning · Latin America

Planificá mejor.
Decidí con datos.

AI-powered planning for food & beverage manufacturers in Latin America.

The problem

Your data already has the answers.

Running a food business is hard enough. There's no time to plan, and planning tools built for large corporations don't fit your reality. Lytica organizes your data, runs the models, and tells you what to do.

Platform

Five solutions. One platform.

Lytica connects to your existing data and applies analytical models at every level of operational decision-making — no in-house data science team required.

M·01

Demand Forecasting

Predict what you'll sell before it happens.

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M·02

Inventory Optimization

Never overstock or run out again.

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M·03

Production Planning

Optimal scheduling with your real operational constraints.

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M·04

Price Recommender

Elasticity, market reference prices, and your real costs, combined into one suggested price.

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M·05

Promotion Evaluation

Measure the real impact of your promotions to make better decisions.

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Built for your reality.

01

Adapted to LATAM

Inflation, interest rates, currency volatility, and local demand dynamics that generic models ignore.

02

Plugs into your ERP

Compatible with Tango and existing systems. No migrations, no disruptions.

03

Live in days

Designed for SME budgets. Fast onboarding, results from month one.

04

With your own AI agent

An intuitive interface and AI copilot that answers operational questions in plain language.

Team

Built by people who understand the problem.

Lucía Demeco

Lucía Demeco

Fundadora

MSc en Business Analytics & AI en Imperial College London —#2 del mundo, QS 2026— como Chevening Scholar. Magíster en Economía Aplicada y licenciada en Ciencia Política (UTDT). Desde 2020 trabaja en análisis y modelado de datos en universidades como Oxford, Maryland y UTDT, y en empresas como Accenture.

Strategy Analytics Business
Magdalena Cornejo

Magdalena Cornejo

Asesora en Forecasting

Doctora en Economía (UBA) y magíster en Econometría (UTDT). Profesora full-time de la UTDT e investigadora del CONICET.

Forecasting Time Series CONICET
Javier Marenco

Javier Marenco

Asesor en Optimización

Doctor en Ciencias de la Computación (UBA). Director de la Licenciatura en Tecnología Digital y profesor investigador asociado en la UTDT.

Optimization Operations Research UTDT
Contact

¿Empezamos a transformar tus datos
en mejores decisiones?

We're onboarding our first customers in Argentina. If you want to be part of it, reach out.

Thanks! We'll be in touch soon.