Our Research

Research Overview

Our research has a primary goal: to understand the complex micro-retailing ecosystem. We achieve this by conducting empirical research using primary data from various stakeholders (i.e. Suppliers, Micro-retailers and Consumers). Our approach involves conducting studies for each of these stakeholders to gain a deeper understanding of the challenges and opportunities within this sector.

Through these efforts, we contribute to the sustainable development of the region, a critical component of our mission to alleviate poverty. To enable large-scale initiatives, we collaborate with partner universities across Latin America. These collaborations involve the participation of thousands of students each year. These students undergo rigorous training and employ technology to ensure the reliability of data collected through immersive experiences, shadowing, and observation. This meticulous approach enhances the credibility of our findings

Ongoing Projects

LIFT Lab x Monterrey Tech

Our field study in Mexico in collaboration with Monterrey Tech allowed us acquire over 1.2 million records spanning over 13 campuses and 70 cities.

LIFT Lab x Tecmilenio

Our newest partner, Tecmilenio, has expanded our reach to Mexico’s most disadvantaged communities. This year, with 13 campuses onboard, we anticipate to receive over 1.5 million records.

Generative AI to support storekeeper’s decisions

By Fabio Castro, Josué C. Velázquez-Martínez and Sreedevi Rajagopalan

To investigate the impact of a conversational artificial intelligence (AI) assistant for micro-firms dealing with replenishment and sourcing decisions, we have developed a web-based behavioral lab experiment using the Prolific platform. Random subjects will be asked to act as managers and decide what to buy and stock up on in a micro grocery store (also known as a nanostore).

For the study, we have created treatment and control groups. The treatment group will receive an AI chatbot powered by large language models (i.e. GPT-3.5) trained to support their decision-making while the control group will be shown graphic dashboards to aid in their decision-making. We will track a range of performance metrics, including profits, chatbot usage, and time. We hypothesize that the treatment group (i.e. AI-chatbot) will show a significant increase in profits.

The effect of AI chatbots on the inventory decision making of micro-retailers: A field experiment in Mexico

By Fabio Castro, Josué C. Velázquez-Martínez and Sreedevi Rajagopalan

To investigate the impact of a conversational artificial intelligence (AI) assistant for micro-retailers dealing with replenishment and sourcing decisions, we have designed an experiment to be executed in the field. The experiment will be conducted with micro-retailers in the state of Mexico. The micro-retailers will be given a mobile application to input the daily sales, purchases, and prices of two products they identify as critical in maintaining stock availability. For the study, we have created treatment and control groups. The treatment group will receive an AI chatbot powered by large language models (i.e., GPT-3.5) trained to support their decision-making.

In contrast, the control group will be shown graphic dashboards to aid their decision-making. We will record the decisions taken and the usage of the chatbot to identify if access to the chatbot helps the micro-retailers in their ordering and stocking decisions. All participants will receive training in marketing and access to a tool where they can find the market price of products from large stores.

The impact of creating parking for freight vehicles on last-mile distribution for nanostores

By Camilo A. MoraQuiñones, Josué C. Velázquez-Martínez, Jan C. Fransoo, Leopoldo Eduardo Cárdenas-Barrón

The lack of freight vehicle parking in urban areas has a negative impact on goods distribution, resulting in increased costs and carbon emissions. This issue is expected to worsen as the world’s urban population grows and urban freight transportation expands. Creating dedicated loading and unloading zones is one possible solution.

We conducted two field experiments in Mexico in 2021 and 2022 to assess the effects on carbon emissions, air and noise pollution, and traffic congestion. The results show a 4% reduction in the carbon intensity factor, a 10% reduction in logistics costs, a 3.34% reduction in CO2 in the air, a 7.94% reduction in noise pollution, and a 1.55% increase in vehicle average speed. These findings suggest that creating these spaces is an effective solution for improving the efficiency and sustainability of urban freight transport in developing cities.

The findings will be presented at the INFORMS annual conference in Phoenix, Arizona, October 2023. Peer-reviewed paper is on its way!

Learn more about our studies and interests by downloading one of our papers or engaging with us using the contact form below.

Supply Chain Management for Micro and Small Firms in Latin America

Supply Chain Management (SCM) primarily concentrates on large firms, neglecting micro and small enterprises (MSEs) in Latin America, which make up 99% of businesses. This chapter explores the relationship between MSEs’ productivity and SCM, highlighting research approaches, such as company size, surveys, and field interventions.

The Coexistence of Nanostores within the Retail Landscape: A Spatial Statistical Study for Mexico City

The grocery retail landscape in Mexico city has changed over the past decade. This paper investigates the growth of convenience and modern channel stores, their impact on nanostores (mom-and-pop stores), and discusses the logistics and managerial implications for stakeholders.

Adoption of Best Business and Supply Chain Practices and Micro/small Firms' Performance: Evidence from Northern Peru

Micro and small enterprises (MSEs) make up 99% of Peruvian firms, contribute 42% to the GDP, and employ half of the labor force. This study investigates how adopting Business and Supply Chain Management (SCM) practices affects MSEs’ performance.

Publications