invent.ai
Multi-agentic AI for retail demand forecasting, allocation, and pricing.
About
invent.ai (formerly Invent Analytics) is a multi-agentic AI platform built specifically for retail planning: it forecasts demand, optimizes replenishment and allocation across stores and channels, and tunes pricing and markdowns. It was recognized in Gartner's 2025 market guides for retail forecasting, allocation, and replenishment, and holds SOC 2 Type II and ISO 27001 certifications. It is retail-only though, so it is not a fit for manufacturing or wholesale distributors, and as an enterprise platform it comes with enterprise sales cycles and pricing.
What it can do
- AI demand forecasting at SKU level
- Replenishment and allocation optimization
- Dynamic pricing and markdown optimization
- What-if scenario simulation
Setup
- Contact invent.ai for a demo and scoping call
- Connect retail data sources (POS, inventory, ERP)
- Configure forecasting, replenishment, and pricing modules
- Review AI-generated plans and what-if simulations
- Push approved plans back to execution systems
Prerequisites
Retail POS and inventory data; an existing planning or ERP system
Use cases
Works with
Trust score — 7/10
Scored 7/10 (verified tier, metrics-v1). Evidence: Gartner 2025 recognition for retail forecasting/allocation/replenishment; SOC 2 Type II and ISO 27001 certified; Retail-only; enterprise sales cycle with limited public pricing. License: Proprietary SaaS..
How the trust score is built
Full methodology →- Adoption · stars/downloads, log-scaled vs peers
- 7.0/10
- Maintenance · recency, releases, issue load
- 8.0/10
- Openness · license + docs
- 5.0/10
- Manual review · sanity read + red-flag check
- 7.0/10
- · Gartner 2025 recognition for retail forecasting/allocation/replenishment
- · SOC 2 Type II and ISO 27001 certified
- · Retail-only; enterprise sales cycle with limited public pricing
Sources
Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.