Philippine Multi-Layer Commercial, Behavioral, Climate, and ESG

Philippine Multi-Layer Commercial, Behavioral, Climate, and ESG Intelligence Dataset (2013–Present)

TIER 1 CORE COMMERCIAL OPERATIONS DATASET

A complete operational and commercial dataset linking customer behavior, pricing mechanics, and supply chain execution over a 12-year period in an emerging market. This is a high-resolution, longitudinal commercial dataset capturing end-to-end operational activity across a 12-year period (2013–present), including transactional, production, and inventory dynamics. It includes a commerce and operations layer: timestamp-level daily transactions, product details such as varietals, wine type, packaging, pricing structure per bottle, add-ons, discounts, bottling data, and inventory and stock levels. This dataset also has a customer layer (local, foreign, Overseas Filipino Workers), customer locations and ISO indicators, purchase channels, delivery, payment methods. Tier 1 offers insights on demand forecasting, pricing optimization models, customer segmentation modeling, supply-demand synchronization, and retail and logistics intelligence.

TIER 2 MARKET INTELLIGENCE & BEHAVIOURAL DATASET

An augmented intelligence dataset that integrates commercial operations with macroeconomic signals, governance risk, and structured behavioral and contextual intelligence. This tier includes everything in TIER 1 + a macroeconomic layer that addresses external economic indicators influencing demand and purchasing power, a governance risk layer addressing corruption and under the table transactions and a contextual intelligence layer where monthly challenges are recorded including its severity, actions that were taken by the company and whether said actions resolved the problem or not and in the event that it was resolved, how effective the solution was, and so on and so forth. This part of this tier creates outcome tracking. TIER 2 also has a behavioural intelligence layer that records diaspora behaviour, overseas filipino worker purchasing patterns, timing, and motivations; foreign buyer behaviour, cross-border gifting patterns, spending comparisons, local consumer behaviour, purchase habits at community level, cross border analytics, iso-linked geography, buyer origin versus spending intensity, foreign versus local versus OFW comparisons. This enables behavioural modeling, tells analysts why things happen (causal inference), gives insights on market entry strategy, diaspora economic analysis, and decision-support systems.

TIER 3 CLIMATE, ENVIRONMENT & ESG INTELLIGENCE DATASET

A full-spectrum, multi-domain intelligence system integrating commercial, behavioural, environmental, and climate variables into a unified dataset suitable for predictive modeling and sustainability analytics. This tier shows environmental causality + Environmental, Social, and Governance quantification. It includes Tiers 1 and 2, a climate intelligence layer affecting four wine varietals, agricultural conditions, longitudinal climate trends, an agriculture layer that focuses on sugarcane production data in the northern part of the Philippines and climate versus yield. Sugarcane data is particularly important as the Philippines is among the most vulnerable countries in terms of natural disasters. All of these are continuously being monitored by the company so it knows where to source its next supply. Tier 3 also has an environmental impact layer from our CSR department where a tree is planted for every case sold. We measure the total number of trees that survived, how much CO₂ they have absorbed through the years and how much oxygen they have produced. This part of the data also records pollination impact. This will enable climate-risk modeling and ESG analytics.

Please note that the price indicated on this particular page is for Tier 1 only.

Core Transaction Features Daily timestamp-level transactions Transaction IDs Product IDs and SKU mapping Purchase quantity and unit volume Bottle pricing and total order value Discounts, promotions, and add-ons Packaging and bottling information Sales channels and order sources Product and Production Features Product category Wine type and varietals Packaging configuration Production batch references Bottling schedules Inventory turnover metrics Stock movement tracking Customer Intelligence Features Customer classification (local, foreign, OFW) Geographic indicators ISO country references Purchase frequency Repeat customer behavior Payment methods Delivery and fulfillment patterns Supply Chain and Operations Features Inventory levels Stock synchronization Demand fluctuations Distribution timing Logistics movement indicators Retail fulfillment efficiency metrics ESG and Environmental Context Features Climate-linked contextual indicators Seasonal consumption behavior Sustainability-linked operational metadata ESG-aljgned operational signals where applicablelinked operational metadata ESG-aljgned operational signals where applicable

File Formats CSV XLSX

Relational and flat-file compatible Machine learning ready Time-series compatible Structured for analytics pipelines and AI ingestion

Multi-year longitudinal dataset 12 years of operational coverage High-frequency timestamp-level records Thousands to millions of transactional records depending on release tier Dozens of structured commercial and behavioral variables

This data product is ideal for a variety of applications:

Demand Forecasting: Train predictive models for retail demand and inventory management.

Pricing Optimization: Analyze elasticity, discount efficiency, and pricing strategies.

Consumer Analytics: Build customer segmentation and purchasing behavior models.

Supply Chain Intelligence: Study inventory synchronization and logistics execution.

AI and LLM Training: Fine-tune commercial intelligence systems and forecasting models.

Economic Research: Analyze emerging-market retail dynamics and consumption trends.

Retail Operations Modeling: Study operational efficiency and product performance.

ESG and Sustainability Research: Explore environmental and operational relationships.

Recommendation Systems: Build product recommendation and behavioral prediction models.

International customer behavior indicators, including foreign consumers and Overseas Filipino Workers (OFWs). The dataset contains globally relevant emerging-market commerce signals and ISO-linked geographic references.

Time Range 2013 – Present

**Demographics ** Local consumers Foreign consumers Overseas Filipino Workers (OFWs) Retail and hospitality-linked purchasing behavior Consumer purchasing and logistics behavior across multiple channels

Licensee is granted a non-exclusive, worldwide, and perpetual right to: Use the Data Product to train, fine-tune, and evaluate machine learning models, including large language models. Incorporate Data Product content into models and commercialize resulting model outputs. Create derivative works, including embeddings, vector databases, model weights, forecasting systems, and analytical intelligence layers.

The Data Product itself may not be sold, redistributed, mirrored, or shared outside licensed usage. Attempts to identify individuals, businesses, or confidential operational entities are prohibited. Licensees must comply with all applicable data protection, privacy, and AI governance regulations.

Data Scientists: For machine learning, forecasting, and behavioral modeling. AI Companies: For LLM fine-tuning and commercial intelligence systems. Researchers: For economic, operational, and consumer behavior studies. Retail Analysts: For pricing, logistics, and inventory optimization. Supply Chain Teams: For demand synchronization and operational analytics. Businesses: For strategic planning, customer intelligence, and forecasting. Financial Analysts: For emerging-market commercial trend analysis. Academic Institutions: For longitudinal retail and behavioral research.