Commercial information lives everywhere.
Gmail, WhatsApp, forms, Calendar, proposals and notes hold different parts of the opportunity. The problem is not only storing contacts; it is rebuilding context and acting in time.
Case study · CloserWinFrom scattered channels
From scattered channels
to an execution system.
CloserWin shows how Plan0101 turns a broad operating problem into a product: channels, pipeline, intelligence, automation and administration inside one architecture.
Build an execution layer, not another generic CRM.
The core organizes leads, deals, proposals and activity while Deal Intelligence, Recovery, follow-up and Revenue AI turn context into priorities.
The workspace grew around the real operation.
Overview, Inbox, Leads, Pipeline, Deals, Proposals, Automations, AI Actions, Analytics, Integrations, global search and Revenue AI now live in the same experience.
Channels → revenue core → intelligence → execution.
Integrations feed a multi-tenant core with users, roles and workspace data. AI operates on that context and sensitive actions remain behind rules and human control.
Command Center
Forecast, risk, recovery and priorities.
Deal Intelligence
Memory, objections, decision makers and signals.
Automation Builder
Triggers and actions with guardrails.
AI Actions
Assisted execution with operating context.
Integrations
Gmail, Calendar, WhatsApp and forms.
Revenue AI
Questions about deals, messages and priorities.
No invented results. This case study describes built architecture and capabilities. The interface below is CloserWin itself using a demo workspace.
Real productThe interface is
The interface is
part of the case study.
Instead of a fictional demo, we show the operating surface that exists in CloserWin today.
Want to build a platform with this level of product depth?
Use CloserWin as a base when it fits, or design a different architecture from scratch.