magicpin Competitors

Swiggy is India’s pioneering on-demand convenience platform, catering to millions of consumers each month. Founded in 2014, its mission is to elevate the quality of life for the urban consumer by offering unparalleled convenience. With an extensive footprint in food delivery, Swiggy Food collaborates with nearly 2 lakh restaurants across 600+ cities. Instamart, its quick commerce platform operating in 120+ cities, delivers groceries and other essentials across 40+ categories in 10 minutes. Fueled by a commitment to innovation, Swiggy continually incubates and integrates new services like Swiggy Dineout and Swiggy Scenes into its multi-service app. Leveraging cutting-edge technology and Swiggy One, the country’s only membership program offering benefits across food, quick commerce, dining out, and pick-up and drop services, Swiggy aims to provide a superior experience to its consumers. For more information, visit www.swiggy.com

Zomato’s mission statement is “better food for more people.” Since our inception in 2010, we have grown tremendously, both in scope and scale - and emerged as India’s most trusted brand during the pandemic, along with being one of the largest hyperlocal delivery networks in the country. Today, Zomato represents a wide range of cultures through its diversified 5000+ team members, 3.5 lakh+ delivery partners, and our biggest collective of the finest restaurant partners. We are grateful that our business is able to provide upward social and economic movement for millions of households – of our delivery partners, as well as restaurant staff. We think of all of us as one big family! Our passion is driven by purpose and we take immense pride in our initiative ‘Feeding India’, one of India’s largest not-for-profits working to ensure that nobody in India goes to bed hungry. As of now, Feeding India provides over 150,000 nutritious meals to the underprivileged every day. In April 2020, Feeding India ran one of the largest food distribution drives in the world during the first wave of COVID, and distributed 78 million meals to daily wagers across the length and breadth of the country. During the second wave of COVID-19, Feeding India was again the first to act. We were able to source over 9,000 oxygen concentrators and distributed them for free to government hospitals across the country. This helped save millions of lives during one of the worst humanitarian crises faced by India in the recent times. We’re innovating hard to make last-mile delivery carbon neutral, to eliminate the use of plastic packaging, create meaningful opportunities in the gig economy, and to feed our country’s ever-growing appetite for high-quality, affordable, and hygienic food, one delivery at a time!

Ambareesh Murty and Ashish Shah embarked on a journey called Pepperfry in 2011 without a precedent or a template to follow, armed only with a mission to spark a feeling called home across the world. They imagined a supercharged lovechild between technology and homely comfort to help them achieve exactly this. 11 years later with a dominant online presence and over 200 offline studios, Pepperfry has blurred the lines between online and offline. Warm and fuzzy feelings aside - Pepperfry is a pioneer with a penchant for taking on difficult problems. Whether it's designing a sofa that can survive a nuclear apocalypse or creating a lamp that doubles as a margarita maker or creating India's biggest big-box logistic network covering over 500+ cities, we've always tried to push the boundaries of what's possible. We've long embraced and injected our eclectic tastes and quirky personality into everything we do. Fun fact: Our 200 'offline studios' don't actually sell anything, yet they contribute to 50% of the business. And when we're not MacGyver-ing the furniture world, we're looking to use technology to change the way our discerning customers shop for their homes, be it through reimagining the overall UX on how our discerning consumers buy for their homes or leveraging AR / VR to help them visualize products before buying or just using ML / Deep tech to build efficiencies in our internal processes.