Times are hard, but as the saying goes, "ya gotta eat!" Here’s your chance to eat for free, well almost, but you better hurry. Restaurant.com is offering a mega special through November 20. While their usual savings are pretty great, $25 worth of participating restaurant certificates for $10, but through November 20, the special offer is $25 worth of certificates for just $2 with coupon code.
With restaurants from Alaska to Washington DC, you are bound to find a local restaurant to enjoy. Search by zip or city, search menus and pricing, even make reservations, then print out your certificate. One word of caution, be sure to read stipulations for redemption of certificates for each restaurant, as there are some caveats for honoring the offer.
Credit Crunch Food Certificates
Mega Restaurant Discounts
Trend Themes
1. Mega Restaurant Discounts - Disruptive innovation opportunity: Develop a mobile app that aggregates all restaurant discount offers from various platforms and allows users to easily redeem them.
2. Online Restaurant Reservations - Disruptive innovation opportunity: Create a platform that provides seamless online reservation capabilities for restaurants, eliminating the need for phone calls and improving the dining experience.
3. Digital Certificate Redemption - Disruptive innovation opportunity: Develop a blockchain-based system for redeeming restaurant certificates, ensuring secure and instant verification.
Industry Implications
1. Hospitality & Food Service - Disruptive innovation opportunity: Integrate artificial intelligence into restaurant operations to optimize efficiency in food preparation, inventory management, and customer service.
2. E-commerce - Disruptive innovation opportunity: Launch an online marketplace exclusively for restaurant certificates, providing a convenient and centralized platform for consumers to purchase and redeem discounts.
3. Technology & Software - Disruptive innovation opportunity: Develop an AI-powered recommendation system that suggests personalized dining experiences based on user preferences and past dining history.