Qualified pipeline
Show opportunities that passed the readiness filter and have a real next step.
- Readiness
- Stage reason
- Next step
Pipeline Dashboard
See the next action
A technical supplier dashboard should not be a prettier CRM dump. It should show which qualified opportunities need action this week, which proposals are at risk, and where specialist capacity is being spent.
Direct answer
A dashboard should show action, not activity
The useful view shows qualified opportunity count, readiness score, stage reason, owner, next action, stale reason, proposal risk, specialist involvement, and expected movement this week.
Follow-up risk
Surface stale opportunities, missing buyer input, proposal risk, and owner tasks.
- Stale
- Missing input
- Owner task
Specialist usage
Show where experts are involved and whether the opportunity deserved that capacity.
- Expert involved
- Reason
- Outcome
Dashboard fields
Keep the operating view narrow
A weekly dashboard works when it helps the team choose actions, not when it tries to explain every detail.
Top row
Qualified opportunities, open proposals, stale opportunities, specialist-assisted opportunities, and new high-value inquiries.
- Qualified
- Open proposals
- Stale
Risk row
Missing input, no next action, deadline risk, wrong owner, and low-readiness specialist usage.
- Missing input
- Deadline risk
- Wrong owner
Action row
Owner task, buyer homework, specialist review, leadership escalation, later follow-up, or disqualify.
- Owner task
- Escalate
- Disqualify
Related paths
The dashboard depends on the fields underneath
If intake, routing, and proposal follow-up are weak, the dashboard will only make the mess visible.
Power and BESS fields
Use this when the CRM needs the right fields before the dashboard can be trusted.
- Fields
- Readiness
- Owner
Proposal system
Use this when proposal status and risk need to feed the dashboard.
- Proposal status
- Risk
- Follow-up
Benchmarks
Use this proof asset to decide which dashboard metrics matter first.
- Response
- Handoff
- Proposal
AI system fit
What AI can run here
For supplier pipeline dashboard, the useful AI system is not a generic chatbot. It is an operating layer that reads project or buyer context, prepares the next owner action, flags missing information, and keeps follow-up visible. The team still owns technical judgment, pricing, plan, proposal language, and customer commitments.
Inputs to bring
Bring the source material already used to judge the opportunity: CRM fields, RFQs, forms, call notes, proposal status, files, source pages, buyer role, owner, due date, and missing facts.
- CRM and forms
- RFQ or proposal context
- Owner and due date
Useful AI work
AI can summarize inquiries, classify readiness, draft missing-info requests, prepare handoff notes, update operating views, and surface stale follow-up before opportunities drift.
- Summaries
- Readiness classification
- Follow-up prep
Human gate
A person approves technical fit, engineering assumptions, pricing, legal terms, customer promises, sensitive language, and whether the opportunity deserves specialist time.
- Technical approval
- Pricing and plan
- Customer promise
Next pages
Keep the diagnosis connected
Technical buyers often need more than one page before they trust the recommendation. These links connect the specific problem to the larger AI System Plan path.
Technical AI Systems
Use the hub when the team needs the full view of project context, specialist handoff, proposal follow-up, and pipeline visibility.
- Hub
- Use cases
- Technical fit
Run the scorecard
Use the AI Infrastructure Scorecard when the page points to a repeatable project context or qualified-demand problem.
- Inputs
- Build decision
- Next step
Conversion Skills
Use Conversion Skills to see the public method behind prompts, tools, review gates, handoffs, and repeatable AI work.
- Skills
- Tools
- Review
Next step
Find the gap first
Start with the repeated work, the source material, and the business result. Then choose strategy, an agent, or a custom AI system.
Choose the AI path