Nicholas G. Hall
Original Message:
Sent: 09-07-2024 00:54
From: Rahul Saxena
Subject: INFORMS Analytics Collection - Innovation in Retail
Dear Prof. Hall,
This is a tremendous resource for our community, and a great way to showcase the relevance of INFORMS to the industry. Thank you!
The collection was thought-provoking. Two threads:
Thread-A: Maybe the categories can be expanded and also made more accurate? I have spent the past decade in building a decision support system (DSS) for franchised automobile retailers in the USA that has the following menu categories so that it's easier for the non-academic end-users:
1. Marketing. Customer profiling, acquisition, interactions, and retention. Demand generation goes here, as does campaign design and execution.
2. Leads. Pipelines of incoming business. Demand flows go here.
3. Sales (for car dealers: Variable Ops). Pricing, discounting, deal-closing, loan-sourcing, upsells, etc.
4. Inventory. What to buy, where to stock it (product & place). What to wholesale (dispose-off). Shipping and inventory-in-transit goes here.
5. Service (for car dealers: Fixed Ops). Pricing, discounting, labor productivity, loyalty, etc.
6. Accounting. Receivables, payables, data-recon, etc. Strategic planning and tracking is embedded in this menu-item that we position for the leadership as cross-function views anchored in financial viability.
7. HR. Team performance, individual coaching.
Thread-B: Can there be a pattern language for models? DSS makers must link models (e.g., in papers and textbooks) into their DSS. Can there be a pattern language that serves as a wrapper for models and enable the data-inflows & outflows needed for the model? A pattern language is useful if it reduces the effort required to connect a model into a DSS, and useless if it just imposes an overhead because it cannot hope to capture the variety of use-cases (model types). Given that there is a data-model for the industry (this is forced by the existence of the DSS), is a pattern for models (forecasting, optimization, etc.) a good pursuit?
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Rahul Saxena
FrogData.com
Original Message:
Sent: 09-03-2024 09:24
From: Nicholas Hall
Subject: INFORMS Analytics Collection - Innovation in Retail
INFORMS Analytics Collections, the multimedia publication of INFORMS, is delighted to announce the publication of a new collection on the topic of Innovation in Retail.
The Editors of this collection are: Victor Martínez-de-Albéniz (IESE Business School), Felipe Caro (UCLA) and Pierre Poignant (BRANDED).
This collection contains relevant multimedia sources showcasing recent innovations in the retail space. Besides numerous journal articles, the collection provides links to academic materials such as case studies or documentary videos, among others. The collection is structured as follows:
1. Introduction – provides an overview of the retail industry and recent developments
2. Demand Planning – discusses issues around the management of consumers
3. Store Execution – explores store management issues
4. Supply Chain – looks at the upstream backbone of retail systems
5. New Business Models – presents new forms of organizing retail
6. Externalities – finally identifies the relationship of retailing with society at large
Mission Statement: "INFORMS Analytics Collections is the preeminent collection of industry-focused innovations and applications in advanced analytics and operations research. Compiled by INFORMS experts, these collections explore relevant analytical insights, issues, and trends through multimedia, complete with free access to INFORMS content. Addressing both academics and practitioners, each Collection seeks to introduce readers to valuable content related to applications, research, and teaching".
Less formally, the objectives of IAC are to use its unique multimedia platform to:
(a) demonstrate connections between applications that create value in currently high priority, high impact focus areas and academic research innovations, and
(b) thereby enhance the impact of the work of INFORMS members.
Comments and questions from INFORMS members are welcome.
Additionally, IAC welcomes proposals for new collections from members. The (typically, two or three) Editors should include at least one person from industry and one from academia. Please review the 20 published collections for reference and send me a one-page proposal describing your proposed collection topic. Thank you.
Nick
Nicholas G. Hall
Editor, INFORMS Analytics Collections
Fisher College of Business
The Ohio State University
hall.33@osu.edu
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Nicholas G. Hall
Berry Professor,
Fisher College of Business,
The Ohio State University
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