Wedding Planner
Shared planning proposals, supplier follow-ups and staged fees

Wedding Planner ERP for Proposals, Tasks & Fees

PLANNING PROPOSAL SHARING

Choose how the planning proposal reaches review.

Review the wedding proposal’s language, link expiry and optional signature request in the native sharing panel. Keep the client and document reference visible while choosing the settings. The example lets the planner try these controls for one agreed coordination scope before preparing an actual proposal for client review.

AGREED PLANNING SCOPE

Make planning sessions and event-day fees distinct.

List planning sessions, supplier coordination hours and the wedding-day team as separate services. Units, quantities and prices explain the proposal total to the client. Clear line descriptions give the planner a common commercial reference when discussing another supplier meeting or an addition to the event-day responsibilities.

PREPARATION FOLLOW-UPS

Give supplier and team briefings clear owners.

Assign the planning-priority discussion, supplier setup requirements and wedding-day team briefing as ordinary tasks. Cards show responsibility, priority and due date, with detailed instructions available on selection. People coordinate with the couple and suppliers, then update the board so colleagues can see the next agreed action.

PLANNING FEE STAGES

Review the agreed fees across the wedding stages.

Inspect a billing plan for the planning agreement, supplier preparation coordination and wedding-day coordination. The progress invoice shows the selected milestone’s description, work package and value against the sales order. Review the 30, 40 and 30 percent stages with the client while preparation tasks remain a separate work record.

Bring the next wedding agreement together.

Wedding Planner ERP for Planning Tasks & Billing | DNA

  • Explore wedding planning in DNA ERP. Share an itemized coordination proposal, assign supplier follow-ups and review agreed planning, preparation and event fees.
  • Utilize structured and semi-structured data storage
  • Analyze data using graph, spatial, and machine learning engines
  • Start with the basic trial using sample data; no set-up required
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