Hoodie Analytics provides a data insights platform that aggregates and cleanses cannabis sales data from over 10,000 dispensaries, enabling brands to track product distribution, pricing, and market trends in real-time. This platform addresses the challenge of inventory management and market visibility, allowing clients to optimize stock levels and enhance sales strategies based on accurate, actionable insights.
Funding
$9.4M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Cannabis brands and dispensaries struggle with fragmented data, making it difficult to track product distribution, pricing, and market trends effectively. This lack of real-time visibility hinders inventory optimization and informed sales strategies.
Solution
Hoodie Analytics offers a cannabis sales intelligence platform that aggregates and refines data from over 10,000 dispensaries, providing real-time insights into product distribution, pricing dynamics, and market trends. The platform enables brands and dispensaries to optimize inventory levels, identify competitive pricing, and project sales with accuracy. By tracking product assortment, promotional activities, and competitive brand performance, Hoodie Analytics delivers actionable intelligence for informed decision-making. The platform's machine-learning technology transforms complex cannabis market data into easily digestible insights, accessible to operators of all experience levels.
Target Audience
The primary target audience includes cannabis brands, cultivators, dispensaries, distributors, and investors seeking to optimize sales strategies, improve inventory management, and gain a competitive edge through data-driven insights.
Features
- Daily tracking of product distribution, out-of-stocks, and assortment gaps across dispensaries.
- Competitive pricing and promotional tracking to optimize pricing strategies.
- Sales projections and velocity metrics for accurate demand forecasting.
- Comparative dispensary analytics to monitor shelf composition and product presence.
- Weighted distribution projections to identify growth opportunities.
- Behavioral geofencing to track anonymized shopper visitation patterns.
- Smart menu mining using AI to detect and correct errors in menu data.
- Retail demographic profiling to understand customer attributes for each dispensary.