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Daisy Intelligence

by Daisy Intelligence · Since 2003
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ActiveAvailable globallyCloud
Quick facts
VendorDaisy Intelligence
Year launched2003
StatusActive
Location1200 Bay Street, 202, Toronto, ON, M5R 2A5
Countries servedGlobal
Languages1
IntegrationsN/A
Free tierNO
Free trialNO
Contact salesYES

About Daisy Intelligence

An AI-powered insights platform providing Decisions-as-a-Service.

Daisy Intelligence is an AI-powered decision intelligence platform designed primarily for retail and insurance organizations, offering categories such as promotion optimization, price optimization, demand planning, assortment optimization, space planning, fraud detection, claims automation, and underwriting. Its primary purpose is to automate complex business decisions by analysing large volumes of data and providing ranked, actionable recommendations using reinforcement learning and its proprietary Halo Effect methodology. The platform emphasizes explainable AI and plain-language recommendations, making its outputs easier for business teams to understand and evaluate. Daisy reports processing up to one billion data points faster than real time and claims measurable efficiency gains, including time savings in planning and improved forecasting accuracy. Retail implementations can use existing transaction and operational data, while case studies indicate the platform can work alongside existing data sources and systems. The service appears to be enterprise-focused and cloud/SaaS-based, with autonomous AI operation reducing the need for coding or dedicated data-science resources. Training and learning materials include case studies, eBooks, webinars, videos, and other educational resources.

Pros & Cons

Pros
  • Provides distinct AI solutions for both the retail and insurance sectors.
  • Focuses on explainable AI to build trust with business users.
  • Aims to deliver verifiable financial results, such as increased sales and reduced fraud.
  • Operates as a Decisions-as-a-Service model, potentially reducing client-side infrastructure and personnel costs.
Cons
  • Pricing is not publicly available and requires direct sales contact.
  • The platform is highly specialized for retail and insurance, making it unsuitable for other industries.

Features

Key features

Promotion Optimization

Recommends the right mix of items to promote in the right channels to maximize sales.

Price Optimization

Optimizes regular and promotional prices to improve profits and margins.

Demand Planning

Forecasts demand to reduce excess inventory and prevent stockouts.

Assortment Optimization

Ensures the right items are in the assortment to maximize sales and reflect consumer behavior.

Fraud Detection

Identifies and avoids fraudulent insurance claims using reinforcement learning.

Additional features

Space Planning

Optimizes store promotional, feature, and regular layouts for increased sales.

Halo Effect Analysis

Considers positive and negative relationships between products resulting from customer choice.

Theory of Retail™

Utilizes a proprietary model of the retail world to run simulations and learn faster than real time.

Theory of Risk™

Employs a mathematical model of the insurance industry to optimize the bottom line and identify risk.

Autonomous AI System

Operates as a 'no code, no infrastructure, no data scientists' platform.

eCommerce Optimization

Harmonizes physical and digital merchandising for online stores.

Pharmacy Merchandise Planning

Optimizes assortments for health and beauty care categories.

Hardware Store Planning

Optimizes assortments for B2B and B2C products and implements customer clustering.

Pricing

Free trial
Free version
Request a quote
Promo Offer

Countries & Languages

Global
Countries served
1
Interface languages
1
Billing currencies

Interface languages

English

Billing currencies

🇺🇸USD

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