Current Position
Assistant Professor of MS&E
Intersection with the Project
Overview
Professor Irene Lo is involved in the project due to her expertise in operations research, game theory, and market design, particularly focusing on enhancing efficiency and well-being in supply chains for small producers (smallholders). Her research on how digital platforms can mediate inefficiencies in opaque and informal markets forms the basis of the chatbot’s proposal to act as a centralizer of financial and operational control. The professor’s work provides the scientific foundation to transform the practical, hands-on routine of the field 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 examines the impact of price transparency in agricultural supply chains in developing countries (such as palm oil in Indonesia), mediated by mobile platforms. The central term is “Demand Signaling”, which occurs when buyers use prices to indicate how much supply they need, and the “Contractual Imbalance”, which describes the asymmetry of needs between different agents. The research investigates how to ensure mutual benefits for sustainable technology adoption.
Efficiency in Opaque Markets
- “As a result, suppliers searching for prices (smallholder farmers) cannot get the best available price, and buyers setting prices 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 “give transparency” to farm expenses and flows, allowing rural producers to identify input and fuel wastage, similar 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 the rural producer with “low tolerance for complex software,” the bot must deliver immediate value (such as eliminating payment forgetfulness) so they will accept “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 allows 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 mismatch reduction logic to ensure that the farm’s logistics infrastructure aligns with tax and maintenance needs, mitigating financial losses.
”Quickest way to less headache days: an operational research model and its implementation for chronic migraine” (2025)
Although applied to health, this research uses Operations Research (OR) to optimize decision-making processes under uncertainty. The model utilizes the “Multi-armed Bandit Problem” and the “Gittins Index” to determine the ideal sequence of actions that minimizes time until an effective solution is discovered. The focus is on replacing human “trial and error” with a continuous learning mathematical 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 schedule foresees technical expansion to “Route and routine optimization algorithms” in August. Lo’s OR methodology provides the framework for the bot not only to record data but also to calculate the most efficient operational trajectories and schedules for rural properties.
Continuous Learning and Guidance
- “This index should be re-evaluated in real time and on each follow-up visit to offer continual guidance for the next medication choice…“. “This index should be re-evaluated in real time and on each follow-up visit to offer continual guidance for the next medication choice.”.
- Intersection: The bot passively and actively collects data through “daily short questions”. This constant interaction allows for real-time reevaluation 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 Due to Process Failures
- “Failures in medication trials cause frustrations and helplessness… A quick way to determine effective preventive therapy can significantly benefit…“. “Medication trial failures cause frustrations and helplessness… A quick way to determine effective preventive therapy can significantly benefit…“.
- Intersection: The “chronic forgetting” of maintenance generates losses and stress for rural producers. The chatbot uses Lo’s systematic decision logic to reduce by 80% tasks not completed due to forgetfulness, replacing human memory failure with an automated and “quick” 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