Top150 Account Intelligence
A self-initiated account-intelligence system that turns fragmented public signals into a ranked commercial next action.
AI-assisted synthesis + human commercial judgment. Disputed conversion metrics intentionally omitted from this public case.
Research was abundant. Priority was not.
There was no ready-made systematic target list. Company websites, social activity, trade data, import signals and purchasing cues existed as fragments. The work was to convert them into an operating model.
Company sites, social channels, public industry information, trade/import data, recent demand and public contact signals.
Recent purchasing demand, import amount, social activity, business movement and product structure.
Business type, company size, current portfolio, product fit and contact accessibility.
Product fit, company size and purchasing frequency formed the core ranking logic.
Every account record ends with a next verification or outreach action instead of a passive score.
Trace the transformation.
The same reasoning model powers the Evidence Board inside the 3D office. Here it is available as a readable keyboard- and touch-friendly sequence.
Collect without pretending collection is insight.
Each source earns a place only if it contributes to a commercial question.
Extract changes, not trivia.
Signals are framed as evidence about need, timing, fit and buying behavior.
Reconstruct the business behind the account.
Product mix, scale, purchasing pattern and public reach turn a company name into an operating profile.
Rank for attention.
Fit, size and purchasing frequency create a transparent prioritization spine; supporting signals refine the judgment.
End with a next move.
The output is not a dashboard. It is a clear next verification, outreach or account-development action.
Unstructured → Structured → Actionable.
The case is representative of a broader working pattern: find evidence, understand the system, translate it into a decision, then stay with the work through execution.