Baachee product · Business growth
Margin-aware quotes with approvals, in hours instead of days
Quote AI runs the whole quote workflow: intake, effort and margin modelling, approval routing and actuals against forecast, across brands and currencies.
- Client
- Quote AI
- Industry
- Professional services
- Region
- Netherlands
- Period
- Available now
- quote turnaround, not days
- hours
- stages: intake, model, approve, track
- 4
Challenge
- Bespoke quotes are built in spreadsheets and negotiated over email.
- Margins drift between brands and currencies because every quote starts from a different template.
- Approvals get lost in inboxes, and actual effort is rarely reconciled with what was quoted.
Approach
- 01Quote requests come in through a form or an API.
- 02The engine models effort, applies configurable rate cards and produces a margin-aware price, per brand and currency.
- 03Approval routing follows brand and threshold rules; approved quotes are locked and versioned.
- 04Actuals are tracked against the forecast and the variance feeds back into the rate cards.
Architecture
01 · Intake
- Form
- API
02 · Model
- Effort
- Rate cards
- Margin
03 · Approve
- Routing per brand
- Thresholds
04 · Lock
- Versioned quote
- Audit trail
05 · Track
- Actuals vs forecast
- Rate card updates
In production
- Brands and currencies
- multi-brand, multi-currency templates
- Approvals
- routed per brand and threshold
- Audit trail
- per quote version
- Feedback loop
- actuals update rate cards
Results
| Metric | Before | After |
|---|---|---|
| Quote turnaround(digital agency use case) | days | hours |
Stack
Source: Quote AI product documentation (baachee.ai/products/pricing-engine) and the digital agency use case on baachee.ai.
Next step
Want this running on your data?