If widely used, it could generate up to $48 billion in economic value by 2030.
Artificial intelligence (AI) is beginning to reshape the way Filipino mom-and-pop retailers manage inventory, but its implementation is colliding with the realities of low margins, analog habits, and uneven infrastructure that still characterize the industry.
By moving from handwritten notes to AI-enabled tools, small retailers can turn idle inventory into faster sales, improve cash flow, and reduce waste.
Widespread adoption could generate up to $48 billion (2.8 trillion pesos) in economic value by 2030, according to estimates by Philippine tech company The Pack Solutions Inc. (Packworks) and Cadence International Business Research, based on data from the Philippine Institute for Development Studies.
However, intake remains limited. With only about 15% of local businesses using AI tools, most small retailers will rely on intuition when deciding which products will get limited shelf space.
For stores operating out of their homes or small storefronts, these decisions can mean the difference between capital working or being unsold.
“when sari sari (Independent) stores, mini-grocers and other small retailers are using AI tools so owners can more easily identify underperforming products and make better decisions about what to keep, promote or replace,” said Iris Lorenzo, managing director of Cadence International Philippines. asian retail. This is important, she noted, because space is limited and cash flow is tight.
AI tools can uncover patterns that are difficult to spot manually, such as slow-moving products that are silently tying up capital or products that sell best at certain times.
In theory, this allows vendors to focus on top-selling products and adjust pricing and promotions with more confidence.
In reality, the barriers remain high. Lorenzo cited the “analog gap,” where day-to-day operations still revolve around handwritten records of sales and credit rather than the digital data needed by algorithms.
Smartphones capable of running AI-enabled apps remain expensive for many vendors, while internet access is patchy and limited in some states.
There are also cultural frictions. Informal credit is common in independent stores and is rooted in personal relationships. Algorithms flag these trades as financial risks and can cause mistrust when machine recommendations conflict with social reality.
At the same time, many AI tools present detailed dashboards rather than simple instructions, which can overwhelm owners who are used to running their shops by feel.
Over-reliance on AI also comes with risks. “The output of AI is determined by the data and signals behind it,” Lorenzo said in an email response to questions.
When recommendations rely on data from suppliers or urban supermarkets, local buying habits can be ignored in favor of big brands, limiting product choice and weakening the store’s role as a community.
Still, early results suggest that tools could benefit small retailers if they are adapted to their needs.
Packworks announced that nearly 300 mom-and-pop stores using its AI-powered Store Insighting Project saw a 17% increase in sales over two weeks.
“They used this information to run promotions and curate products,” Andoy Montiel, Packworks’ chief data officer, said in a separate email. “If products don’t sell, capital goes to sleep.”
Beyond stores, AI has the potential to reshape distribution. Over the next 12 to 24 months, Lorenzo expects distributors to rely more on store-level sales data and move from fixed delivery routes to demand-driven schedules.
This could mean more targeted deliveries and assortments tailored to local demand.
Mass adoption in mom-and-pop stores will take time. Progress will depend on adding AI to the tools vendors already use, such as point-of-sale and ordering apps, and improving collaboration between governments, technology providers, and the private sector.
Local platforms like Packworks, Peddlr, and Growsari are trying to fill the gap by replacing notebooks with apps that work even with limited connectivity.
“Sari-sari store owners in 2030 will not consider themselves technology users,” Lorenzo says. “They are still the store owners, with the phone silently in the background handling inventory replenishment and lending decisions.”
