AI predictive analytics
Software that forecasts, scores or recommends from your data, compared on cost, time-to-value and implementation effort.
251 solutions found · showing 241–251
IDeaS G3 RMS
AI-centric, growth-driven revenue management solutions for everything from independent hotels to global portfolios
- Time-to-Value
- 2–3 months
- Typical TCO
- $36k/yr
TCP Software
Frontline workforce management for scheduling, time and attendance, and labor compliance.
- Time-to-Value
- About 1 month
- Typical TCO
- $23k/yr
Mitratech
AI-powered Legal, GRC, and HR software that unifies teams and accelerates business performance
- Time-to-Value
- Roughly 3 months, product-dependent
- Typical TCO
- On request
Esker
Agentic AI suite that automates source-to-pay and order-to-cash for the Office of the CFO
- Time-to-Value
- 3–6 months
- Typical TCO
- On request
isolved
One HCM platform for HR, payroll and benefits, with practical AI and expert support behind it.
- Time-to-Value
- Est. 1–3 months (not vendor-published)
- Typical TCO
- On request
PROS
AI-driven airline retailing and offer management built for revenue performance.
- Time-to-Value
- 6-12+ months (enterprise rollout)
- Typical TCO
- On request
Sapiens
AI-native insurance platform with embedded agentic AI across policy, underwriting, claims, reinsurance and compliance.
- Time-to-Value
- 6–12 months (programme dependent)
- Typical TCO
- On request
Blackbaud
Leading software and AI solutions for nonprofits, education, and social impact teams.
- Time-to-Value
- ~3 months (vendor-led onboarding)
- Typical TCO
- On request
SYSPRO
Purpose-built cloud ERP for manufacturing and distribution, now AI-enabled.
- Time-to-Value
- 6–9 months
- Typical TCO
- On request
Global Shop Solutions
AI-enhanced ERP software that simplifies manufacturing from quote to cash.
- Time-to-Value
- 3–6 months typical ERP rollout
- Typical TCO
- On request
Quadient
Human-centered automation for communications, finance, mail and delivery
- Time-to-Value
- 1-2 months
- Typical TCO
- On request
Questions to ask before you buy
- How much of our own history does the model need before its predictions are useful?
- Can we see why a score or forecast came out the way it did?
- How is accuracy measured, and is that reported to us?
Each tool page shows what the vendor’s own pages say about training on your data, model providers and AI pricing, and “Not recorded” where they say nothing. How we record AI