Forkast provides an AI‑powered revenue management platform that centralizes menu pricing and promotional decisions for multi‑location restaurant chains. Leveraging proprietary Wharton research, the system continuously analyzes sales, cost, and demand data to recommend optimal prices and offers, integrates with POS and online ordering systems for real‑time updates, and delivers margin uplift analytics through a single dashboard.
Funding
Funding not disclosed
Founders
Product
Problem
Restaurant operators struggle with fragmented pricing processes, relying on spreadsheets and manual adjustments that cannot keep pace with rising costs and customer price sensitivity, leading to margin erosion across multiple locations and channels.
Solution
Forkast offers an AI‑powered revenue management platform that centralizes pricing and promotional decisions for restaurant chains. Built on proprietary Wharton research, the system continuously analyzes sales, cost, and demand data to recommend optimal menu prices and offers for each item, location, and sales channel. Operators receive a single interface to implement and monitor pricing actions, eliminating spreadsheet chaos and ensuring consistent margin strategies. Real‑time analytics surface the impact of price changes, allowing quick adjustments that protect margins while maintaining guest satisfaction. The platform integrates with existing point‑of‑sale and ordering systems, automating price updates and offer deployments across the entire network.
Target Audience
Primary customers are multi‑location restaurant operators and chain owners who need a scalable solution to manage pricing, promotions, and margin performance across their entire portfolio.
Features
- AI-driven pricing engine that optimizes menu prices and promotions based on cost, demand, and competitive data
- Centralized dashboard for managing pricing rules across all locations, items, and sales channels
- Automated integration with POS and online ordering platforms for real‑time price updates
- Margin uplift analytics that track the financial impact of pricing changes and surface actionable insights
- Wharton‑grade research methodology ensuring statistically sound pricing recommendations
- Offer management tools that enable dynamic, location‑specific promotions without manual spreadsheet work