Skip to main content
AI-powered intelligent sales system

SalesFlow

Every customer interaction drives a confirmable next step

What sales teams really lack isn't more customer data — it's a more certain, executable next step. SalesFlow captures field information via voice, recordings, business cards, and visit notes; AI distills pain points and tasks; and after the rep confirms, it writes back to customers, opportunities, and approvals — turning the CRM from an archive into a sales action system.

Closed loop
from capture to write-back
Controllable
confirmation stays with people and permissions
Multi-platform
Web + mini program
Live Product UI

SalesFlow — Workspace

Field signals flow into one workspace; the dashboard and AI-suggested next steps stay in view.

salesflow.com.cn
SalesFlow workspace screenshot

Core Capabilities

AI that enters real sales actions, not just meeting summaries

Capture → Distill → Confirm → Write back

AI doesn't just produce meeting minutes. After voice, recordings, business cards, and visit notes are captured, AI distills pain points, budget, decision makers, tasks, and risk signals; the rep confirms or ignores each item, and only confirmed items are written back to customers, tasks, schedules, opportunities, or approvals — AI works right next to business actions while final control stays with people and the permission system.

Multi-source field capture
AI structured distillation
Item-by-item confirmation
Controlled write-back to business objects

Customers as long-term memory

Contacts, business cards, visits, pain points, budget, decision makers, and recent interactions accumulate around one customer. The next rep to take over opens the customer record and sees not a set of fields, but the full context of why this deal is where it is — memory doesn't break when people change.

Complete interaction history
Cumulative customer memory
Full context on handover
Insights and next-step suggestions

Opportunity stages — and the evidence behind them

In most CRMs, 'intent/proposal/negotiation' is a rep's subjective pick that managers can't verify. Beyond stage labels, SalesFlow provides health scores, stage suggestions, key-role coverage, and change logs, so managers decide resource allocation on risk signals and evidence of action — not verbal reports.

Health scoring
Stage suggestions with evidence
Risk-signal alerts
Traceable changes

Dual proposal flows: fast for simple, solid for complex

Running every order through one process means simple deals get slowed by approvals while complex ones lack governance. The simple flow keeps standard deals fast; the advanced flow carries multi-round review, negotiation, risk simulation, and approvals for high-value, multi-stakeholder deals. Process complexity follows deal complexity — speed and governance are no longer either/or.

Simple flow keeps speed
Advanced flow adds governance
Multi-round review and negotiation
Risk simulation and approval

The Loop

Four steps from customer interaction to sales action

1

Field capture

Voice, recordings, business cards, visit notes, or photos — multi-source capture in one tap

2

AI distillation

Automatically identifies pain points, budget, decision makers, tasks, and risk signals

3

Item-by-item confirmation

Reps confirm, ignore, or edit; high-risk writes never pass without a human

4

Write back and advance

Confirmed results flow into customers, opportunities, tasks, schedules, or approvals — moving the next step

Use Cases

Run the loop in one high-frequency scenario first, then expand

🏃

High-frequency visit teams

Frequent visits and recordings; reps spend hours organizing information and action items slip through

Meeting outcomes land somewhere
Fewer missed deals via confirmation
Managers see real change
🏛️

Complex B2B deals

High value, many stakeholders; needs presales, review, negotiation, or approval support

Verifiable stage evidence
Review blockers surface early
Evidence-backed resourcing
🌱

Team scaling and onboarding

Fast growth, wide skill gaps; top reps' experience lives in their heads

Top-performer playbook reuse
Newcomers don't start blank
Oracle suggests next steps
🚗

Field sales on the road

Information waits until they're back at the office; field context erodes on the road

Four mini-program entries
Photo documentation on site
Confirm before leaving

Ready to get the sales loop running?

Pick one high-frequency scenario, bring a real visit recording or live opportunity, and we'll demo the full chain from capture to write-back.