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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Daisy is an AI software company that delivers explainable Decisions-as-a-Service for retail merchandise planning and insurance risk management. Daisy's unique AI system is completely autonomous. It doesn't require any code, infrastructure, or bias. This allows your employees to concentrate on your mission, serving your customers, and creating shareholder wealth. The Daisy system in retail will offer promotional item selection, dynamic pricing optimization for regular and promo prices, improved demand forecasting, inventory allocation, and optimized assortment planning. The Daisy system is designed to detect and avoid fraudulent claims for insurance clients. It also allows claims automation which minimizes human intervention in claims processing. Daisy's solutions provide verifiable financial results and a minimum net income return of 10X.

Description

SupaLaunch serves as an all-in-one SaaS boilerplate developed using Next.js and Supabase, aimed at expediting the creation of full-stack web applications. It encompasses crucial functionalities such as user authentication (featuring both email and Google login options), a PostgreSQL database, image storage capabilities, API integrations, and support for Stripe payments, which accommodate both one-time transactions and subscription services. The platform also provides a ready-made landing page designed with Tailwind CSS and DaisyUI, which includes customizable elements such as a navigation bar, partner logos, product features, pricing details, FAQs, and footer sections. Additionally, SupaLaunch incorporates a markdown-based blog that enhances SEO-friendly content management, integrates AI capabilities through OpenAI API, and supports streaming functionalities, all while offering over 20 distinct UI themes. Other notable features include predefined SEO tags, an automatically generated sitemap to enhance discoverability, comprehensive website analytics, and the ability to send programmatic emails via MailerSend. The architecture of the boilerplate is intentionally structured to enable swift project initiation, making it an ideal choice for developers looking to streamline their workflow. With its diverse features, SupaLaunch not only simplifies the development process but also enhances the overall user experience.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

ChatGPT No 
GitHub No 
LangChain No 
MailerSend No 
Markdown No 
Next.js No 
OAuth No 
OpenAI No 
PostgreSQL No 
Stripe No 
Supabase No 
Tailwind CSS No 

Integrations

ChatGPT Yes 
GitHub Yes 
LangChain Yes 
MailerSend Yes 
Markdown Yes 
Next.js Yes 
OAuth Yes 
OpenAI Yes 
PostgreSQL Yes 
Stripe Yes 
Supabase Yes 
Tailwind CSS Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$57 one-time payment
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Daisy Intelligence

Founded

2003

Country

Canada

Website

www.daisyintelligence.com

Vendor Details

Company Name

Supalaunch

Website

supalaunch.com

Product Features

Sales Forecasting

Competitor Analysis No 
Correlation Analysis No 
Dashboard No 
Dynamic Modeling No 
Exception Reporting No 
Graphical Data Presentation No 
Modeling & Simulation No 
Performance Metrics No 
Sales Trend Analysis No 
Statistical Analysis No 

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