What Daisy Intelligence does

Daisy Intelligence Corporation is a Toronto, Canada-based private AI software company founded circa 2003 that delivers "Decisions-as-a-Service" for two verticals: retail merchandise planning and insurance risk management. Its core platform is built on reinforcement learning, optimal-control mathematics, and a proprietary framework called the "Theory of Retail™" that models cross-product relationships (Halo Effect, cannibalization, forward buying, price/promotional elasticity). The platform ingests historical point-of-sale (TLOG), promotion, and product data, then simulates billions of product-mix scenarios to produce explainable, ranked recommendations across eight product modules: Promotion Optimization, Price Optimization, Demand Planning, Assortment Optimization, Space Planning, Fraud Detection, Claims Automation, and Underwriting. Customers access these via a unified online portal and can accept, edit, or reject recommendations.

Daisy's revenue model is enterprise subscription / managed service with quote-based pricing that "scales to the size of the organization deploying it" and multi-year contracts; engagements typically include a two-month onboarding plus phased operational trials, with a contracted minimum 10x net-income ROI as a benchmark. The go-to-market is sales-led (Book a Demo CTAs, CEO-led keynotes at NRF, Groceryshop, NGA, FMI, LATAM Retail Show) combined with channel partnerships (DFuturo Consulting / Hasar Group in Brazil). Customers identified include Green Shield Canada (insurance) and unnamed regional / mid-size grocers; reported case-study outcomes include 22% markdown reduction, 15% forecasting accuracy improvement, and >$10M fraud avoidance with >50% false-positive reduction. The company holds SOC 2 Type 2 and ISO 27001 certifications and has earned AIFinTech100 (2022, 2023), Globe & Mail Canada's Top Growing Companies, Deloitte Fast 50, Canadian FinTech, AIconics, and Computing AI & ML recognitions. Total disclosed equity funding is approximately $13.5M across 2016-2019, led by Framework Venture Partners and Espresso Capital; no public revenue or headcount growth figures are disclosed.

Name

Daisy Intelligence

Legal name

Daisy Intelligence Corporation

Website

https://daisyintelligence.com

Company type

Private

Founded year

2003

Operating status

Operating

Headcount range

11–50 employees

Short description

Daisy Intelligence is a Toronto-based AI company that sells an autonomous, reinforcement-learning-powered "Decisions-as-a-Service" platform for retail merchandise planning and insurance risk management, serving category managers, merchants, and fraud/risk leaders at retailers and insurers in North America and Brazil.

Ownership category

akta.pro rank

Product category

Retail Merchandise Planning & Insurance Risk Management AI

NAICS

Software Publishers (5132)

akta.pro primary industry

Pricing, Revenue Management & Promotion Optimization (HDAAAHAB)

akta.pro secondary industry

Data, Analytics & AI for Insurance (Risk, Pricing, Personalization) (FSAGAGAE)

Keywords

• Retail promotion optimization
• Insurance fraud detection
• Claims automation software
• Merchandise planning AI
• AI underwriting platform

Headquarters

HQ city

Toronto

HQ country

Canada

HQ region

North America

Markets served

GTM type

B2B

Offering type

Software

Cost components

Personnel, Technology or R&D, Marketing or Sales, Operations

Revenue model

1. AI Decisions-as-a-Service (Subscription): Daisy sells autonomous AI software as a managed service for retail merchandise planning and insurance risk management, delivered via an online portal. Pricing is not publicly disclosed but is described as 'Decisions-as-a-Service' with a contractual minimum 10x net income ROI for clients.
2. Scaled Enterprise Software Licensing: The cost to use reinforcement-learning software from Daisy scales to the size of the deploying organization, supporting both small insurers and large enterprises — implying tiered/usage-based enterprise licensing arrangements rather than flat pricing.
3. Implementation / Onboarding & Trial Engagements: Typical implementations require two months to onboard client data and integrate with existing claims/merchandising processes, with phased operational trials (e.g., a backward-looking historical review followed by an operational test) that drive measurable ROI (>$10M fraud avoidance and 10x ROI demonstrated in published case study).

Pricing tiers

Go-to-market motion3 records

Core offering

Daisy Intelligence develops and sells an autonomous AI platform that delivers explainable, ranked "Decisions-as-a-Service" through an online portal, split into two vertical solution suites. Retail Solutions cover Promotion Optimization, Price Optimization, Demand Planning, Assortment Optimization, and Space Planning, while Insurance Solutions cover Fraud Detection, Claims Automation, and AI Underwriting. The system is built on reinforcement learning and optimal control mathematics, layered with Daisy's proprietary "Theory of Retail" and Halo Effect modeling, ingests historical POS, promotion, and product data, and produces ranked recommendations that merchandising and insurance teams can accept, edit, or reject.

Product overview

Daisy Intelligence offers a single unified AI platform — the Daisy AI Technology Platform — that delivers "explainable Decisions-as-a-Service" across two vertical solution suites: Retail Solutions and Insurance Solutions. The platform is built on reinforcement learning, optimal control, and Daisy's proprietary "Theory of Retail™", with all retail and insurance modules (Daisy Promotion Optimization, Daisy Price Optimization, Daisy Demand Planning, Daisy Assortment Optimization, Daisy Space Planning, Daisy Fraud Detection, Daisy Claims Automation, and Daisy Underwriting) operating as integrated capabilities of the same end-to-end planning and risk-management engine. A unified dynamic online portal exposes ranked, explainable recommendations across every module, allowing merchandising and insurance teams to accept, edit, or reject recommendations while the system runs autonomously underneath.

Differentiator

Problem solved

Functional benefit

Products and services

• Daisy Promotion Optimization AI-powered promotion optimization that recommends which items to promote (and not promote), at what price, and in which channel/region/price zone, using the proprietary Halo Effect to maximize total store traffic and basket size. Built for retail merchants and category managers running near- and long-term promotion planning.
• Daisy Price Optimization Optimizes the combination of regular and promotional prices to improve profits, margins, and total store impact. A retail case study reports a 22% reduction in markdowns on promotional items over 6 months.
• Daisy Demand Planning AI-powered demand forecasting and ordering that continuously accounts for Halo Effects across the assortment, helping stores retain the right stock, reduce excess inventory, and prevent stockout losses. A retail case study cites a 15% increase in forecasting accuracy for a major North American retail chain.
• Daisy Assortment Optimization Ensures the right items are in the assortment to maximize Halo Effects, narrowing or reshaping assortments in response to changes in product availability and consumer behavior to optimize total store sales and margin.
• Daisy Space Planning Incorporates Halo Effects into store-level macro and micro space planning across promotional, feature, and regular layouts, producing space plans designed to increase total store sales and margin.
• Daisy Fraud Detection AI-based insurance fraud, waste, and abuse detection that combines reinforcement learning, fuzzy-logic peer analysis of patients/providers, social network analysis, and predictive models to flag fraudulent claims. Documented outcomes include >$10M in fraud avoidance and 10X ROI in a two-phase trial for a large North American insurer, with false-positive rates reduced from >90% to <50% (sometimes <20%).
• Daisy Claims Automation Automates high-volume insurance claims processing and auto-adjudication, minimizing human intervention for low-materiality, high-volume claims and freeing investigators to focus on complex cases. A leading global insurer case study cites >$5M in savings through auto-adjudication.
• Daisy Underwriting AI underwriting solution that analyzes 100% of client data — including unstructured customer data — to identify optimal risk curves, improve loss ratios, and price premiums competitively for new and renewing policyholders.
• Daisy AI Technology Platform The proprietary autonomous AI platform that powers all retail and insurance solutions. Built on reinforcement learning, optimal control mathematics, and Daisy's patented "Theory of Retail"; runs without code, infrastructure, data scientists, or human bias, and delivers explainable, ranked, actionable Decisions-as-a-Service through a dynamic online portal with a contracted minimum 10X net income return on investment.

Ideal customer profiles2 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

AI capability13 records

Feature7 records

Recent moves7 records

Expansion highlights5 records

Broad incumbents

• Blue Yonder: Large enterprise supply chain and retail planning suite (formerly JDA Software) offering promotion, price, assortment, and space optimization on a single platform. Comparable to Daisy's retail merchandising suite in scope and target buyer (category managers at large grocers and retailers), though Blue Yonder serves a much broader portfolio.
• Palantir Technologies: Large enterprise AI/data platform (Foundry and AIP) increasingly used by retailers and insurers for merchandising, supply chain, and risk decisions. Represents the broad-incumbent competitive threat Daisy's autonomous AI engine would face in enterprise procurement.
• C3.ai: Enterprise AI application platform offering prebuilt industry suites including financial services and supply chain, with an autonomous decisioning focus. Broad incumbent adjacent to Daisy's autonomous-AI positioning in retail and insurance verticals.

Direct peers

• o9 Solutions: AI-powered integrated business planning platform delivering demand planning, promotion optimization, and supply chain decisioning for retailers and consumer goods companies. Most direct enterprise-grade competitor to Daisy's retail modules with similar target customers and AI-driven planning value proposition.
• RELEX Solutions: Provider of unified retail and supply chain planning software covering demand forecasting, replenishment, assortment, space, and promotion optimization for grocers and retailers. Closely overlaps with Daisy's retail modules (Promotion, Price, Demand, Assortment, Space) and targets the same category managers.
• Revionics: Specialized AI-based price optimization and promotion planning vendor for retailers, with deep category-management use cases. Directly competes with Daisy Promotion Optimization and Daisy Price Optimization for retail pricing/promotion budgets.
• Shift Technology: AI-native insurance fraud detection and claims automation vendor, serving global property & casualty and health insurers. Most direct competitor to Daisy Fraud Detection and Daisy Claims Automation in the insurance vertical.
• ToolsGroup: AI-driven demand forecasting, inventory optimization, and replenishment platform serving retailers and consumer goods companies. Comparable to Daisy's Demand Planning module and similar ML/statistical-optimization approach to retail planning.
• FRISS: AI-based fraud, risk, and compliance platform purpose-built for P&C and health insurers, with explainable fraud detection at the claim and provider level. Direct peer to Daisy's insurance fraud and claims suite.

Emerging players

• DataRobot: Enterprise AI/ML platform enabling organizations to build, deploy, and govern predictive and prescriptive models. Comparable as a competing AI tooling layer that retail and insurance buyers may use in-house instead of purchasing Daisy as a managed service.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks6 records

Key highlights7 records

Customer concentration

• Xx.com/daisyintel
• YouTubeyoutube.com/@daisyintelligence/videos
• LinkedInlinkedin.com/company/daisyintelligence
• Facebookfacebook.com/daisyintelligencecorporation

Compliance3 records

Revenue estimate

Valuation estimate

Number of profiles

Profiles3 records

Subsidiaries1 record

Funding overview

Funding rounds5 records

Investors8 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Daisy Intelligence