invent.ai
Retail planning AI that turns real-time demand, inventory and pricing signals into transparent, actionable decisions.
By invent.ai · HQ Philadelphia, US · 4.2/5 Value-Position score (estimate)
Positioning guardrails
Best for
- Apparel, footwear, grocery and specialty retailers running roughly 100+ stores that need store×SKU demand, allocation and pricing decisions.
- Merchandising, allocation and supply-chain teams stuck on static planning cycles and endless parameter maintenance.
- Retailers willing to run a structured pilot and phase rollout, with clean store- and SKU-level data available.
- Multi-region retailers that want one decisioning layer across channels, categories and regions.
Ideal size: 50–1,000+ across planning, allocation and pricing people · Mid-market to enterprise retailer with a data/analytics function and executive sponsorship
Not for
- Single-store or small regional retailers without the data volume to support planning models.
- Non-retail businesses (B2B manufacturing, services, healthcare) — the platform is built around retail assortment, inventory and pricing.
- Buyers who need published self-serve pricing and same-week onboarding without a vendor-led pilot.
- Teams looking only for a standalone BI/reporting tool rather than decision automation.
Value metrics scorecard
Time-to-Value
90 days to proven value
~90 days to first production value
Total Cost of Ownership
On request
Enterprise subscription, custom-quoted per retailer; no public list pricing published.
Implementation Friction
3/5
Engineering + admin effort required
Value-Position score
out of 5 · model estimate
Full cost breakdown
Mandatory implementation fee
None
Seat tiers
Not listed
Add-on costs
- None
Company & support
Who is behind invent.ai, and how your team gets help once it is live.
Company
- Founded
- 2013 · 13 yrs in business
- Headquarters
- Philadelphia, US
How you get support
We haven’t recorded support channels for invent.ai yet. Nothing here means unverified — not absent.
Market position
Where invent.ai sits against its closest alternatives. Pick any two of cost, speed, friction and buyer score, and up to 9 companies to compare.
Quadrant view
Typical annual cost × Time-to-value
The lines cross at the median of the solutions shown, so about half sit on each side of each line.
Companies on the chart 6 / 10
- invent.ai
- parcelLab
- Bazaarvoice
- Searchspring
- Klarna
- PrestaShop
Add or change companies
Up to 10 companies including invent.ai. Listed closest first.
Stack fit signal
Compatibility with standard B2B ecosystems.
No supported MCP path today, so it cannot be driven from an AI client.
AI & MCP readiness
What invent.ai ships in AI, and what it asks of your ecosystem.
AI features shipped
Vendor describes a multi-agentic AI architecture in which agents continuously analyze demand, inventory and pricing and explain recommendations; Remi is the conversational interface teams use to ask what changed and why. No AI governance, audit-log, model-provenance or training-data details are published.
Your data & models
- Trains on your data
- Not recorded — ask the vendor
- Runs on
- Not recorded
- AI pricing
- Not recorded
In your ecosystem
- AI connection
- Not supported
- Model key
- Not recorded
- AI usage audit
- Not recorded
Compliance attestations
* IAPP AIGP certifies individuals, not products. It means named staff hold the credential — not that the platform does.
Bottom line
invent.ai is an AI decisioning platform for retail planning. Its multi-agentic AI layer and conversational assistant, Remi, read demand, inventory and pricing signals down to store×SKU level, then recommend and (with approval) execute forecasting, allocation, replenishment, markdown and dynamic pricing decisions. The vendor reports 8–11% revenue growth and 6–8% margin improvement within 90 days, with named customers such as Alo Yoga and Tailored Brands. Pricing is custom and enterprise-led; no list price, support SLA or security certifications are published.
Frequently asked questions
How quickly can we see measurable value from invent.ai?
The vendor positions 90 days as the point of proven value, and publishes customer evidence at shorter horizons: Alo Yoga reported weeks-of-supply down three weeks with double-digit sales and in-stock gains after six weeks, and Tecovas reported a 9.6% revenue lift across a 42-store pilot after six weeks. Plan for a vendor-led pilot with like-for-like or split-category measurement before a wider rollout.
What does invent.ai cost, and how is it priced?
No list pricing is published. The site markets the platform as an enterprise subscription supported by a 'Hub Model' team of pricing, AI and retail experts, so commercial terms are quoted per retailer through sales. Treat it as a custom enterprise contract and ask specifically about AI usage, the dedicated team and any pilot-to-production step-up in the proposal.
What data and systems do we need in place before starting?
The platform works at store×SKU granularity and the vendor says it integrates with existing retail systems for immediate, measurable results. In practice you need reliable item, location, on-hand, demand and margin data plus a merchandising or supply-chain owner. The vendor-led pilot is the intended way to validate data quality and expected financial effect before scaling.
What security or compliance certifications does invent.ai hold?
None are claimed on the pages reviewed here. The public privacy policy covers data-handling at a high level, but no SOC 2, ISO 27001, HIPAA, FedRAMP or similar certification page is published, and no AI management certification (ISO 42001) or data-training statement is disclosed. Ask the vendor directly for its security documentation during diligence.
Who are invent.ai's reference customers?
The vendor publishes case studies and quotes from retailers including Alo Yoga, Tailored Brands, Tecovas, Boyner, Teknosa, Fiba Retail Group (GAP and Marks & Spencer) and Fozzy Group. These skew toward apparel, footwear and specialty retail with large store fleets across North America, Europe, the Middle East and Turkey, which is a useful proxy for fit.