Prospecting Agent:
Generative AI applied to lead generation
The Puzzle Prospecting Agent turns artificial intelligence into a business growth engine.
It integrates generative AI, NLP, and LLMs to automate and scale qualified lead generation, reducing time and boosting measurable results.
With Docs AI, your company can
· Classify large volumes of documents in various formats.
· Extract, interpret, and validate data accurately.
· Send the structured information to a designated repository.
Technology behind Docs IA
We combine cutting-edge technologies such as:
· Optical Character Recognition (OCR) to identify text in scanned documents.
· Natural Language Processing (NLP) to interpret unstructured or semi-structured content.
· Machine Learning and Deep Learning to transform data into structured and easily accessible information.
How Docs IA works
Our approach optimizes every step of document processing:
· Document adaptation: We prepare your files so you can adopt this technology without complications.
· Automatic classification: We identify and organize documents according to their type and content.
· Key data extraction: We select the specific information your business needs.
· Analysis and validation: We interpret the extracted data and perform consistency tests to ensure its accuracy.
· Delivery of results: We generate legible results and send them to the destination defined by your company.
Confidentiality guaranteed
Throughout the process, we ensure the privacy and security of your data through advanced protection protocols.
Benefits of Docs IA
· Reduction of time and costs in document management.
· Greater precision in data classification and analysis.
· Transformation of unstructured documents into ready-to-use information.
How the Puzzle Prospecting Agent Works
Configure custom criteria: sectors, areas, and customer quality . // Example: Identify premium locations in Buenos Aires for selling high-end wines.
Multi-source data collection // Access open sources (Google Maps, networks, TripAdvisor) and private sources (CRMs), applying ethical web scraping and machine learning.
Dynamic interpretation with AI // The agent adjusts searches in real time, filters results, and improves its predictive accuracy with each iteration.
Validation and normalization // Cleans, unifies and verifies information, eliminating duplicates and ensuring up-to-date data.
Intelligent enrichment and geolocation // Adds context (average ticket, reputation, decision-makers, commercial areas) generating optimized opportunity maps.
Predictive classification (AAA / AA / A) // Prioritizes leads with the highest commercial potential using predictive scoring models.
Export and commercial integration // Delivers ready-to-use datasets in CRMs, dashboards or BI tools, facilitating segmented campaigns and immediate action.
Result: more accurate, faster and more profitable prospecting
The client receives a prioritized database with up-to-date data, predictive classification, and complete traceability, focusing sales efforts on the highest-converting leads.
Key advantages:
Complete automation of prospecting.
Reduction of operating costs.
Predictive lead scoring with AI.
Direct integration with commercial tools.
Regional and sectoral scalability.