Salucop Group, Inc

About

SGI is not a data company, at least not in the beginning. We stand on an old foundation built by my great-grandfather who was a farmer and a winemaker and we intended to do two things - sell wine and preserve our heritage. But time and consistency have a way of turning intent into data. Twelve years in and operations accumulated records that turned into a continuous high-resolution documentation of how people buy, how markets move, and how decisions succeed or fail under real conditions. Our data is from actual transactions, operational decisions, environmental exposure, and customer behaviour in a live emerging market environment. Every data point reflects a real commercial action, constraint, or outcome while ensuring data privacy.

Most datasets tell you what happened, ours will show you what happened, why it happened, what was done, and what worked. This is particularly valuable for AI training and simulation, emerging market strategy, behavioural economics, climate and ESG modeling, and institutional-grade forecasting.

What We Offer

1. Longitudinal Commercial Intelligence

A 12-year operational dataset (2013–present) capturing:

Daily transactions (timestamp-level) Pricing structures, discounts, and basket composition Product-level data (wine types, varietals, packaging) Inventory movement and bottling operations Customer segmentation (local, foreign, diaspora/OFW) Payment methods, delivery channels, and purchase pathways

This enables:

Demand forecasting Pricing optimization Supply chain synchronization Retail and logistics intelligence

2. Behavioral & Market Intelligence

An advanced layer that explains why markets behave the way they do, including:

Overseas Filipino Worker (OFW) purchasing behaviour Cross-border gifting and diaspora economics Local community-level consumption patterns Macroeconomic signals influencing purchasing power Governance and operational risk tracking Monthly problem → decision → outcome logs

This enables:

Behavioural modeling Causal inference Market entry strategy Decision-support systems

3. Climate, Agriculture & ESG Intelligence

A rare integrated layer linking environment to commerce:

Climate impact on wine varietals and production Sugarcane agriculture data (yield vs climate conditions) Sourcing decision intelligence in a disaster-prone region

Quantified ESG metrics: Trees planted per unit sold CO₂ absorption and oxygen production Pollination impact tracking This enables: Climate-risk modeling Sustainable supply chain optimization ESG analytics and reporting Environmental impact valuation

Data Integrity & Methodology

We do not scrape or passively collect data.

Data is generated internally through operations Every layer is validated against actual business activity Contextual logs ensure interpretability Environmental and ESG metrics are tracked continuously Longitudinal consistency is maintained across 12+ years and we update on a daily basis

Product Structure

Our datasets are structured in tiered intelligence layers, each designed as a complete product with increasing depth and explanatory power:

Tier 1: Core commercial and operational intelligence Tier 2: Behavioral and market intelligence Tier 3: Climate, agriculture, and ESG intelligence Pricing depends on scope and licensing.

Ideal Users

AI and machine learning teams Investment and strategy firms Government and policy analysts ESG and sustainability researchers Market intelligence and consulting groups