The largest segment of Online Food Delivery market is restaurant-to-consumer delivery. Customers are getting accustomed to order online from local restaurants or food store chains. The new user buying behaviour is characterized by personalised experience, door to door delivery options, and ease of making a purchase. smartFood is an on-demand food delivery application that can be white labeled to manage services for your single/multi restaurants or launched as a food marketplace just like Uber, GrubHub, DoorDash.
Built with latest technologies it captures business analytics for you to make informed decisions.
Restaurant panel: it allows restaurants, chefs and food & beverage outlets to receive updates on incoming orders & order status, menu management, payment management, delivery management, and more.
Admin panel: manage customers, restaurants, and drivers through an intuitive dashboard. Know insights on customer behaviour and create targeted campaigns.
Mobile apps for both iOS and Android platformsCustomer app: restaurant search & filters, food order, online payments, real time order tracking and more
Delivery personal app: order alerts and fulfilment status, GPS navigation for pick-up and delivery, profile visibility and more.
Other features include referral system, loyalty programs, staff management and integration with 3rd party platforms for marketing, delivery management etc.
With ready to use solutions to manage sales, revenue and partners, smartFood mobilizes your business. Our market experience and technology skills can serve your other requirements for:
The goal is to provide quick, high-quality repairs for mobile phones, tablets, laptops, and desktops, along with an easy way to buy and sell pre-owned electronics.
This project delivers an integrated AI and analytics platform for the Foundation for Sickle Cell Disease Research (FSCDR). It connects ECW (eClinicalWorks) EHR data with advanced AI-based predictive models to identify high-risk patients, automate follow-ups, and streamline state grant reporting (CMO99, CMOAE Tasks 5–13).
The goal is to transform static EHR data into actionable insights — improving research visibility, compliance, and patient outcomes while cutting down manual reporting workloads. The solution supports predictive ER-risk modeling, AI-based outreach automation, and Power BI-driven compliance dashboards across FSCDR’s Centers of Excellence.