What is Measurable AI?

Measurable AI runs one of the largest transactional email receipt panels in emerging markets, with millions of consenting panelists across Southeast Asia and Latin America forwarding their order confirmation emails through the Mailtime.ai and Reward.me apps. Each receipt is parsed, anonymized, and turned into a structured transaction record, giving researchers a rare transaction-level view of online commerce in markets where official retail data is sparse. On Dewey, that panel currently surfaces through two Shopee datasets covering e-commerce order activity across eight markets.

‍

What academic researchers should know about Measurable AI consumer spend data

Shopee E-Receipt Data captures every stage of an order's life, from placement and payment confirmation through delivery, delivery feedback, cash on delivery confirmation, and cancellation, each logged as its own timestamped row with itemized product, price, and delivery location detail. Coverage in the delivered data runs from January 2025 through July 2026, with history back to January 2019 available on request, refreshed on a rolling weekly basis across Indonesia, the Philippines, Malaysia, Taiwan, Thailand, Singapore, Vietnam, and Brazil. The companion Shopee Panelist Info dataset adds account and demographic context for the same panelists, including device type, account tenure, region, and self reported birth year and gender for roughly six in ten panelists. Because receipts come from opted in email accounts rather than a full census of Shopee's order volume, researchers should treat the data as observed panel activity and join across both datasets using the shared panelist identifier rather than the receipt identifier alone.

‍

Why academic researchers choose Measurable AI on Dewey

Item-level detail paired with delivery geolocation is hard to find for e-commerce in Southeast Asia and Latin America at any price. Because the data reflects completed transactions captured directly from order confirmation emails, it gives researchers a behavioral alternative to survey-based consumer spending measures in markets with limited official commerce statistics. Wharton, Columbia, MIT, Hong Kong Polytechnic University, and Oxford are already working with the underlying panel.

‍

Measurable AI academic research ideas and use cases

Order volume and itemized SKU detail from Shopee E-Receipt Data let researchers track category-level demand shifts on one of Southeast Asia's largest marketplaces over time, useful for work on platform competition and market share in digital economies where public retail statistics lag.

The order type field marks every stage a receipt passes through, from placement to delivery to cancellation, so researchers studying last-mile logistics, cash on delivery reliance, or cancellation behavior in emerging market e-commerce can build lifecycle-level measures directly from the receipts.

With receipts spanning Indonesia, the Philippines, Malaysia, Taiwan, Thailand, Singapore, Vietnam, and Brazil, the dataset supports comparative studies of e-commerce adoption, seasonality, and basket composition across very different digital economies in Asia and Latin America.

Joining Shopee E-Receipt Data to Shopee Panelist Info lets researchers connect order behavior to device type, account tenure, region, and self-reported age and gender, opening questions in consumer economics and marketing research about who is driving e-commerce growth in these markets.