Why I Built Elizabeth.ai: The Filipino Seller Problem Nobody's Solving

The Problem I Couldn't Unsee

I grew up in Pampanga, Philippines — a province famous for its food and its entrepreneurial spirit. Everywhere I looked, people were building businesses on Facebook. Titas selling kakanin, friends launching clothing reselling businesses, neighbors running home-based food prep services. Facebook was the storefront, the marketplace, and the order system all rolled into one.

But the order system part was broken.

I watched seller after seller do the same thing: refresh their Facebook Page, scroll through dozens (sometimes hundreds) of comments, manually copy each order into a notebook or spreadsheet, then open Messenger and send confirmation messages one by one. For a seller with 50 orders a day, this process alone could take 3-4 hours. Every single day.

The really successful sellers — the ones hitting 200+ orders — would hire a dedicated staff member just to process orders. An entire salary dedicated to copy-pasting from comments to spreadsheets.

Why Nobody Was Solving This

I looked for existing solutions. There were e-commerce platforms, sure — Shopify, Lazada Seller Center, Shopee. But none of them solved the Facebook comment ordering workflow. They all assumed customers would visit a website or marketplace, browse products, and click "Add to Cart."

That is not how Filipino micro-businesses work.

In the Philippines, the buying process is social. Customers see a post, comment "mine" or "order po," and expect a DM confirmation. They haggle in Messenger. They pay via GCash and send a screenshot. The entire transaction lives inside Facebook.

The tools that existed were either too expensive for a solo seller earning PHP 20,000 a month, or they required customers to change their behavior (visit a website, fill out a form). Neither was realistic.

The Taglish Challenge

Even if someone built a Facebook order parser, they would face another problem: language. Filipino sellers and buyers communicate in Taglish — a fluid mix of Filipino and English that changes mid-sentence. An order might read:

"Hi po, order ko po ng 2 chicken adobo tsaka 1 sinigang. Deliver po sa Mabalacat. Gcash po bayad ko."

That single message contains Filipino, English, abbreviations ("ko" instead of formal "ko po"), a food item that could be misspelled ten different ways, and a payment method mention. Standard NLP models trained on English or even pure Filipino would struggle with this.

This was the real barrier. You could not just bolt on an order parser — you needed one that understood how Filipinos actually communicate.

Building the Solution

I started Elizabeth.ai with a simple thesis: Filipino micro-businesses need automation that works within Facebook, understands Taglish, and costs less than hiring a staff member.

The technical approach became a hybrid system. A regex-based parser handles the straightforward orders — "2x adobo, 1 sinigang" patterns that represent about 60% of all messages. For the complex, ambiguous, heavily Taglish messages, we route through an AI cascade (Claude, Gemini, GPT-4o) with circuit breakers for reliability.

The regex-first approach was a deliberate cost decision. AI API calls add up fast when you are processing thousands of orders. By handling the majority of orders with zero-cost regex, we can offer a meaningful Free tier (100 orders/month) while keeping Pro pricing at PHP 2,499/month — roughly the cost of a few meals out, not a staff salary.

The Mission

Elizabeth.ai exists to give Filipino micro-businesses the same automation that big e-commerce players have, at a price point that makes sense for a seller doing PHP 30,000 a month in revenue.

We are not trying to replace Facebook. We are not trying to move sellers to a different platform. We are building automation that works inside the workflow that already exists — because that workflow is uniquely Filipino, and it works.

The name "Elizabeth" is a nod to the countless hardworking Filipino women — the nanays, the titas, the ate — who run these businesses from their homes. They deserve tools that respect how they work.

Learn more about the product in What is Elizabeth.ai?, or visit our about page to meet the team.

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