AltF Ideas holds 117,264 startup ideas across 61 industries, each scored 0–100 on demand, moat, monetisation, feasibility, timing and open field. The 12,000 highest-scoring have full dossiers with market size, competitor archetypes, risks, and a four-step build path. Sorted by opportunity score, best first.
Point a retrieval engine at claims & appeals, and let people review output instead of producing it. Aimed at logistics ops teams, proving value before anyone signs anything.
A document parser that sits beside the existing system, reads what it already produces, and closes quoting & estimating. Aimed at logistics ops teams, taking the phone queue off a human entirely.
A forecasting model that handles quoting & estimating end to end and hands a human the exceptions rather than the queue. Aimed at logistics ops teams, so the work stops following people home.
Point a workflow engine at quoting & estimating, and let people review output instead of producing it. Aimed at logistics ops teams, unbundling the one module people actually use.
An anomaly detector that sits beside the existing system, reads what it already produces, and closes expense review. Aimed at logistics ops teams, catching the error before it becomes a change order.
A narrow anomaly detector scoped to expense review alone — no platform, no migration, no six-month rollout. Aimed at logistics ops teams, taking the phone queue off a human entirely.
Point a forecasting model at dispatch, and let people review output instead of producing it. Aimed at logistics warehouse teams, taking the phone queue off a human entirely.
Reporting & analytics handled by a document parser, with a human signing rather than writing. Aimed at logistics warehouse teams, taking the phone queue off a human entirely.
A document parser that sits beside the existing system, reads what it already produces, and closes pricing. Aimed at logistics ops teams, surfacing the exposure nobody has priced.
Point an autonomous agent at collections, and let people review output instead of producing it. Aimed at logistics ops teams, writing down what only one person knows.
A narrow workflow engine scoped to collections alone — no platform, no migration, no six-month rollout. Aimed at logistics ops teams, so the work stops following people home.
A workflow engine that handles quoting & estimating end to end and hands a human the exceptions rather than the queue. Aimed at logistics ops teams, holding service constant on a smaller team.
A narrow forecasting model scoped to risk assessment alone — no platform, no migration, no six-month rollout. Aimed at logistics ops teams, at a tenth of what the enterprise suite charges.
An anomaly detector that sits beside the existing system, reads what it already produces, and closes risk assessment. Aimed at logistics ops teams, surfacing the exposure nobody has priced.
Point a document parser at expense review, and let people review output instead of producing it. Aimed at logistics ops teams, writing down what only one person knows.
A narrow anomaly detector scoped to asset tracking alone — no platform, no migration, no six-month rollout. Aimed at logistics warehouse teams, built for one person, not a department.
A narrow anomaly detector scoped to asset tracking alone — no platform, no migration, no six-month rollout. Aimed at logistics warehouse teams, at a tenth of what the enterprise suite charges.
An optimisation engine that handles maintenance planning end to end and hands a human the exceptions rather than the queue. Aimed at logistics warehouse teams, so the work stops following people home.
Onboarding handled by an autonomous agent, with a human signing rather than writing. Aimed at logistics warehouse teams, going after the low-value tail everyone else skips.
Point an anomaly detector at inventory planning, and let people review output instead of producing it. Aimed at logistics warehouse teams, replacing the spreadsheet that currently holds it together.
Reporting & analytics handled by a reconciliation engine, with a human signing rather than writing. Aimed at logistics warehouse teams, closing the loop while everyone is asleep.
A document parser that sits beside the existing system, reads what it already produces, and closes reporting & analytics. Aimed at logistics warehouse teams, writing down what only one person knows.
A narrow optimisation engine scoped to scheduling alone — no platform, no migration, no six-month rollout. Aimed at logistics warehouse teams, surfacing the exposure nobody has priced.
Scheduling handled by an autonomous agent, with a human signing rather than writing. Aimed at logistics warehouse teams, replacing the spreadsheet that currently holds it together.