AI-Based Analytic for B2B Sales and Marketing Intelligence
Using Machine Learning to build prospective customer database
HOW IT WORKS
Powerful integrated database
Integrate multiple sources of public data including company registration database, industry association members, import and export data into one simplified database
Recommendation Engine
Recommend a list of prospective customer database using collaborative filtering based on industry supply and value chain
Advanced Search Technique
Enable advanced search techniques that identify, categorize, and gather user-defined data elements corresponding to search criteria
Large-Scale Web Crawling
Track company digital footprints to improve business categorization model to accurately identify lead generation opportunity
MEET ZPIDERS
OUR STORY
The idea to develop "Zpiders" started when a non-tech entrepreneur with a solid background in sales and marketing intelligence met with a hand-on passionate technical developer at the Big Data Engineering class while they are studying for Master of Engineering at Dhurakij Pundit University. The idea is to help B2B companies gather better data on their customers by utilizing open data from Government and digital footprints of companies to be used for scoring, forecasting and improving classification capabilities.
OUR VISION
Started in Thailand as a home market, Zpiders aims to integrate companies in South East Asia into one single database platform for sales and marketing intelligence. The platform would enable businesses to gather better data and connect with their prospective customers and partners across the region.
TECHNOLOGY
The focus is on AI-based analytics to identify patterns in data that ultimately provide the basis for predictive sales and marketing models. We plan to use machine learning for a recommendation system, full-text search algorithms (such as ElasticSearch), NoSQL database running on cloud computing.
