AI Contract Margin Intelligence → Bid Calculator
Discovery Lens
E Data Asset
The more it's used, the harder it is to replace
One-Liner
Ingests historical contract data (actual hours worked, supplies used, contract price) → calculates true margin per contract type and square footage → powers accurate pricing on new bids.
Kill Reason
Margin analysis and bid pricing for service businesses is already a core feature in field service management platforms like ServiceTitan and Aspire, which are installed in many commercial cleaning companies. Building this as a standalone product means competing against embedded features in platforms customers already depend on, with no proprietary data asset to differentiate.
What do you think?
Related ideas you can explore free:
killed: Production rate databases and regional labor cost tables are publicly available through cleaning industry associations, making the core data commoditized. The 'historical win-rate data' lives in each company's own records rather than accumulating across the platform, so there is no cross-customer network effect. Field service software like Jobber and ServiceTitan can add this feature in a quarterly sprint.
killed: Reserve study analysis is an established software category with vendors like Reserve Advisor, FundTrack, and ReadySetServe already serving HOA management companies. The AI PDF-to-communication layer adds convenience but builds no proprietary cross-HOA benchmark intelligence that incumbents with years of existing data cannot already provide.
killed: Contract comparison against service logs is a workflow automation feature that any field service platform — Jobber, ServiceTitan, Housecall Pro — can add in a development sprint. There is no proprietary scope-creep pattern database and no network effect that grows with adoption. The value proposition is real but the product is a feature, not a standalone business.