Teppei Syokudo - Improving Store Performance
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Current Progress
Undergraduate Conference for Data Analytics Paper 1 - Product Portfolio Management in F&B using Market Basket Analysis
Undergraduate Conference for Data Analytics Paper 2 - Improving Shop Productivity in F&B store using Regression Models
Final Paper 1 - Product Portfolio Management in F&B using Market Basket Analysis Submitted
Final Paper 2 - Evaluating and Establishing KPIs and Staff Performance in F&B store Submitted
Project Poster 1 - Product Portfolio Management in F&B using Market Basket Analysis Submitted
Project Poster 2 - Improving Shop Productivity in F&B store using Regression Models Submitted
Interim Report Submitted
Interim Wiki Updated
Sponsor Background
Teppei Syokudo is a Japanese Food and Beverage chain, under the umbrella of the famous Teppei Japanese Restaurant. Teppei Syokudo operates as a takeaway kiosk concept, and specializes in Kaisendon, a bowl of barachirashidon (rice with raw fish), that retails for SG$16. It offers other dons (rice bowls), tonkatsu cutlets (fried pork), tempura (fried dishes) and sashimi salads.
The takeaway kiosk mainly targets lunchtime crowds, especially upmarket businessmen and women who are looking to grab a quick, healthy, and quality lunch.
Teppei Syokudo currently has outlets in 4 locations - Millenia Walk, Takashimaya, Republic Plaza, and Ion Orchard.
Each outlet has its own shop manager, one full-time staff, some part-time staff, and chef. The staff include cashiering and assistant roles. During peak hours, the outlets may have up to 7 staff to manage demand.
Project Motivation
In a bid to outlast its competitors in the highly-competitive F&B scene in Singapore, Teppei Syokudo is looking for opportunities to improve its shop performance.
Our team was tasked to identify opportunities to improve Teppei Syokudo's shop performance by focusing on two areas : its labour force and its product portfolio mix. Teppei Syokudo believes that its shop can be more productive but does not know which of its current labour practices needs to be improved. It has provided us with hourly shop performance data such as sales and customer number, as well as labour rosters across six months in return for recommendations to help it to improve its shop productivity.
Another factor for driving store performance is through product portfolio mix. Even though the staff may be upselling and cross-selling, they may not know the right products to cross-sell to increase the probability of the customer making additional purchases. For example, most customers may tend to purchase Drink X together with Don X. In this case, if a customer orders Don X and is about to make payment, the staff can suggest Drink X to the customer, hence prompting a higher probability for the customer to purchase Drink X.
Project Objectives
The aim of our project is to help Teppei Syokudo to improve shop performance by optimizing its product portfolio mix and improving shop productivity.
Our project objectives are hence:
- To identify key drivers of shop productivity so as to devise an effective strategy to improve shop productivity
- To identify customer purchase trends with out and within sets so as to come up with recommendations that staff can use to manage the product portfolio and introduce opportunities to cross-sell and up-sell
