Meet Indonesia's Super! While they're a social commerce startup focused on small towns and rural areas, what they've achieved is far from small. Now, they've just raised a $70M Series C!

• They aggregate and distribute millions of dollars worth of goods to communities monthly.
• They operate in 30 markets, targeting Tier 2 and 3 cities with a GDP per capita of $5,000 and below.

Who cashed in? New Enterprise Associates (NEA) led the round. SoftBank Ventures Asia, DST Global Partners, B Capital, Insignia Ventures Partners, Amasia, TNB Aura and Goldhouse.

• 👼🏻: Stephen Pagliuca (Bain Capital Chairman) and Moses Lo (Xendit CEO) also joined in.
• Their last round was a $28M Series B last year.

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🤯 Small towns, big problems

While GDP per capita in small towns and rural areas is 3–5 times lower than in the capital city, goods can cost 20–200% more! Plus, orders can take ages, and items are often out-of-stock or unavailable. Why?

• Higher supply chain costs— small orders cost more $$$ than large orders from big cities.
• Infrastructure and logistics in these areas suck, so it's harder (and more expensive) to transport goods regularly and quickly.

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🛒 Your super local grocery

Want to order? Just head to their app! They sell at super low wholesale prices and deliver within 24 hours— what more can you ask for?

It takes a village. Super works with FMCG brands to source products. Through their warehouses and third-party logistics partners, group orders are sorted, picked up and delivered to their thousands of agents.

• These agents are individuals and small stores (aka, warungs) who fulfill last-mile delivery by distributing within their communities.
• It's a win-win! FMCG brands get to sell more (and more efficiently) in rural areas, and agents can earn as much as 10M IDR ($692) a month in commissions.

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💰 What's with the $$$?

They'll be expanding operations to more areas! On the product side, they'll create more private-label brands (they currently have two) and launch cosmetics products, which are rising across Indonesia.

Techy talk. They'll be using machine learning to understand where which items sell best and optimize their inventory. Plus, they'll launch a feature for agents to track end-to-end transactions to help them create better customer experiences.