Omnichannel retailing

• Omnichannel Assortment Planning – book chapter highlighting the challenges involved in omnichannel assortment planning at the strategic, tactical, and operational level.
• New Product Development in an Omnichannel World – article explaining how the new product development process at manufacturers is changing in an omnichannel world.
• Challenges at the Marketing–Operations Interface in Omni-Channel Retail Environments – the omnichannel business model requires more interaction between the marketing and operations functions of the firm to address the challenges on their interface. This article highlights these challenges and provides some directions on how to tackle them.
• Managing the Marketing-Operations Interface in Omnichannel Retail – A special issue on operational challenges on the marketing-operations interface in omnichannel retail settings.
• Optimizing Omni-Channel Fulfillment with Store Transfers – Exploiting spare capacity in vehicles replenishing store inventories to reduce online order fulfillment cost by transferring online orders to these vehicles at one or more of the stores visited.

Online retail/last-mile logistics

• Time Slot Management in Attended Home Delivery – Methodology to optimize time slot offering in e-grocery attended home delivery.

Retail analytics

• Retail Analytics – ongoing study that surveys the academic literature on retail analytics and takes stock of the most recent developments in terms of technology, data, and analytics in practice.
• Optimizing Retail Assortments – Methodology for optimizing store-level category assortments.

Restaurant analytics

• Worth the wait? How restaurant waiting time influences customer behavior and revenue – Article combining empirical analyses and simulations to demonstrate the impact of waiting time on customer behavior, and to estimate the long-term revenue implications of making customers wait.
• Restaurant analytics – ongoing study on the current applications and vast future potential of analytics applications in all decision domains related to restaurants, ranging from strategic issues (e.g. managing the food supply chain) to operational decisions (e.g. queue management and table allocation).

Inventory management

• Decision Biases of Empirical Newsvendor Decisions: Target Service Levels are Achieved Effectively, but Inefficiently – An empirical analysis of inventory decisions of bakery products at a large German retail chain. The article identifies different decision biases of managers how these affect company’s performance.
• Which decision support do empirical newsvendors need? How to use local knowledge best – In a field test we analyze how different decision support tools affect inventory decisions and performance of store managers. This article discusses how manger’s local market knowledge can be used effectively.

Retail distribution – store delivery

• https://www.sciencedirect.com/science/article/abs/pii/S0272696307000162

Warehousing

• Retail cross-docking and workforce planning – planning inbound and outbound cross-dock shipments, warehousing, order pick operations, integrated with store delivery for store-based retail,
  • https://www.sciencedirect.com/science/article/abs/pii/S0377221719303625,
  • https://www.sciencedirect.com/science/article/abs/pii/S0377221720304124,

• E-commerce retail warehouse operations,
  • https://www.sciencedirect.com/science/article/pii/S1366554520304476,
  • https://www.sciencedirect.com/science/article/pii/S1366554518302928,
  • https://www.sciencedirect.com/science/article/abs/pii/S0377221718307185

• Robotic warehouse operations for omnichannel retail,
  • https://pubsonline.informs.org/doi/abs/10.1287/trsc.2018.0873

Competitive intelligence – analytics in the service sector

• Optimal location for competing retail service facilities – Analytical approach to solve the location problem for retail service facilities, consumer-facing storefronts, specifically restaurants, that provide a service and compete with other retailers.
• Pricing under limited competitor data – ongoing study to present a new econometric method for demand estimation based on—widely available—competitor intelligence data, addressing two important and difficult gaps in this stream of research: (1) model estimation with competitor effects (2) model estimation when the firm sells a single product. We use the constructed estimation model to decide on how to set the daily prices for a hotel.