Current Position
Assistant Professor of MS&E
Intersection with the Project
Overview
Professor Irene Lo relates to the project through her expertise in operations research, game theory, and market design, with a special focus on enhancing efficiency and well-being in supply chains of smallholder producers. Her research on how digital platforms can mediate inefficiencies in opaque and informal markets underpins the proposal for the chatbot to function as a centralized controller of financial and operational flows. The professor’s work provides the scientific foundation to transform the practical, “hands-on” field routine into a structured decision-making system aimed at reducing hidden costs and optimizing resources.
”Two-sided Benefits of Price Transparency in Smallholder Supply Chains” (2025)
This study analyzes the impact of price transparency in agricultural supply chains in developing countries (such as palm oil supply chains in Indonesia), mediated by mobile platforms. The central term is “Demand Signaling”, which occurs when buyers use price to indicate how much they need of a supply, and “Contractual Imbalance”, which describes the asymmetry of needs among different agents. The research investigates how to ensure mutual benefits so that technology adoption is sustainable.
Efficiency in Opaque Markets
- “As a result, price-searching suppliers (smallholder farmers) cannot get the best available price, and price-setting buyers cannot utilize pricing as an efficient signaling mechanism…“. “As a result, price-searching suppliers (smallholder farmers) cannot get the best available price, and price-setting buyers cannot utilize pricing as an efficient signaling mechanism…“.
- Intersection: The project identifies that the lack of centralized control hides productivity bottlenecks and generates accounting friction. The chatbot acts to “provide transparency” to farm expenses and flows, allowing rural producers to identify waste in inputs and fuel, analogously to the efficiency sought by Lo’s platforms.
Sustainability of Technology Adoption
- “However, to encourage widespread adoption of information platforms and ensure sustained welfare benefits, it is often crucial that both sides of the market benefit…“. “However, to encourage widespread adoption of information platforms and ensure sustained welfare benefits, it is often crucial that both sides of the market benefit…“.
- Intersection: For rural producers with “low tolerance for complex software”, the bot must deliver immediate value (such as eliminating forgotten payments) to gain their acceptance in “feeding” the system with data. Lo’s research validates that the chatbot’s success depends on this mutual perception of utility between field operations and strategic management.
Reduction of Mismatch Between Supply and Demand
- “Price transparency enables buyers with contractual imbalances to leverage differentiated pricing to signal unequal demand, thereby reducing demand-supply mismatch…“. “Price transparency enables buyers with contractual imbalances to leverage differentiated pricing to signal unequal demand, thereby reducing demand-supply mismatch…“.
- Intersection: The bot’s “Continuous Learning Engine” assimilates operational routines to suggest resource optimizations. By collecting data on suppliers and routes, the system applies Lo’s logic of mismatch reduction to ensure that the farm’s logistics infrastructure aligns with fiscal and maintenance needs, mitigating financial losses.
”Quickest way to less headache days: an operational research model and its implementation for chronic migraine” (2025)
Despite being applied to health, this research uses Operations Research (OR) to optimize decision-making processes under uncertainty. The model employs the “Multi-armed Bandit Problem” and the “Gittins Index” to determine the optimal sequence of actions that minimizes time until an effective solution is discovered. The focus is on replacing human “trial and error” with a mathematical learning model.
Optimization via Mathematical Models
- “Operations research (OR) is the study of optimal decision-making using mathematical models.”. “Operations research (OR) is the study of optimal decision-making using mathematical models.”.
- Intersection: The project’s timeline foresees technical expansion in August for “Optimization algorithms for routes and routines”. The OR methodology described by Lo provides the framework for the bot not only to record data but also to calculate the most efficient trajectories and operational schedules for the rural property.
Continuous Learning and Guidance
- “This index should be re-evaluated in real time and on each follow up visits to offer continual guidance for the next medication choice…“. “This index should be re-evaluated in real time and on each follow up visits to offer continual guidance for the next medication choice.”.
- Intersection: The bot performs passive and active data collection through “short daily questions”. This constant interaction allows “real-time” re-evaluation of farm priorities, using Lo’s sequential learning principle to ensure that the system dynamically adapts to changes in the producer’s routine.
Mitigation of Frustrations from Process Failures
- “Medication trial failures cause frustrations and helplessness… An expedient way of determining effective prevention therapy can significantly benefit…“. “Medication trial failures cause frustrations and helplessness… An expedient way of determining effective prevention therapy can significantly benefit…“.
- Intersection: Chronic “forgetfulness” in maintenance tasks causes losses and stress for rural producers. The chatbot uses Lo’s systematic decision logic to reduce 80% of uncompleted tasks due to forgetfulness, replacing human memory failure with an automated and “expedited” flow of alerts and reminders.
Full Papers
Irene Lo - Two-sided Benefits of Price Transparency in Smallholder Supply Chains.pdf Irene Lo - Quickest way to less headache days an operational research model and its implementation for chronic migraine.pdf