Question: Mini - Case Study: Streamlining Service Operations at Old Crown Coffee Roasters, Fort Wayne Background: Old Crown Coffee Roasters, a beloved coffee shop and caf
MiniCase Study: Streamlining Service Operations at Old Crown Coffee Roasters, Fort Wayne
Background:
Old Crown Coffee Roasters, a beloved coffee shop and caf located in the vibrant neighborhood of Fort
Wayne, Indiana, has established itself as a community staple known for its artisan coffee and locally
sourced menu. Despite its popularity and loyal customer base, Old Crown has encountered challenges
related to increased wait times and variable service quality, particularly during peak hours : AM
: AM on weekdays and : AM : PM on weekends The management team is eager to
address these issues to maintain its reputation and ensure customer satisfaction.
Company Profile:
Location: Fort Wayne, Indiana
Employees: employees, including:
Managers
Baristas fulltime, parttime
Kitchen Staff fulltime, parttime
Customer Footfall: Average of customers per day, with peaks of up to customers on weekends
Seating Capacity: seats indoors and outdoor seasonal seats
Current Average Wait Time: minutes during peak hours, with a goal to reduce it to under minutes
Customer Satisfaction Rate: with recent feedback pointing to wait times and order accuracy as
areas for improvement
Problem Statement:
As MBA students consulting for Old Crown Coffee Roasters, your task is to analyze the cafs current
service operations and develop a strategic plan to enhance efficiency, reduce wait times, and improve
service quality, thereby boosting customer satisfaction and loyalty.
Objectives:
Detailed Process Analysis: Examine the current service flow from order placement to fulfillment.
Identify bottlenecks contributing to increased wait times and inconsistencies in service delivery.
Workforce Optimization: Assess staffing levels and schedules against customer traffic patterns.
Recommend adjustments to ensure optimal staffing during peak times.
Layout and Space Utilization Review: Evaluate the cafs layout and seating arrangement for potential
improvements to facilitate smoother customer flow and increase comfort.
Technology Utilization: Explore the adoption of technological solutions such as a mobile ordering
system, digital menu boards, and an efficient pointofsale POS system to speed up transactions and
reduce wait times.
Quality Assurance Measures: Propose methods to enhance service consistency and accuracy, including
staff training and customer feedback mechanisms.
Data for Analysis:
Detailed Hourly Footfall Data for a Typical Week:
Weekdays Monday to Friday
Morning Peak : AM : AM: customers.
Lunch Peak : PM : PM: customers.
Afternoon : PM : PM: customers per hour.
Evening : PM : PM: customers.
Weekends Saturday and Sunday
Morning : AM : AM: customers.
Midday Peak : AM : PM: customers.
Afternoon : PM : PM: customers per hour.
Breakdown of Transaction Types:
DineIn:
Takeaway:
Online Orders:
Current Staff Shift Patterns and Labor Costs:
Managers: per shift, opening and closing
Baristas: total; per peak shift : AM : PM and : PM : PM
Kitchen Staff: total; per shift depending on expected footfall.
Labor Costs: Approximately $ per month
Layout Schematics of the Caf:
Seating Capacity: indoors, outdoors
Order Counter: Located near the entrance, causing some congestion.
Pickup Area: Adjacent to the order counter, limited space for waiting customers.
Kitchen and Barista Station: Efficiently located but with limited visibility to customers.
Recent Customer Feedback and Satisfaction Survey Results:
Overall Satisfaction:
Areas for Improvement:
Wait times during peak hours.
Congestion at the order counter
Limited seating availability and space during peak hours
Positive Feedback:
Quality of coffee and food
Friendly staff
Ambiance and location
Assumptions please consider further assumptions to give logic to your answers, where you think data is
missing or not provided, make sure your assumed data has face validity; these assumptions are provided
in order to guide your thinking about the problem:
Each barista can handle orders per hour.
Kitchen staff can prepare orders per hour.
The goal is to reduce wait times to under minutes during peak periods.
The current layout contributes to a minute additional wait due to congestion.
of current orders move to mobile ordering, reducing physical queue by
Average transaction time at the counter is minutes.
Deliverables combine these two reports together and submit a single pdf file at the Brightspace
link:
Step by Step Solution
There are 3 Steps involved in it
1 Expert Approved Answer
Step: 1 Unlock
Question Has Been Solved by an Expert!
Get step-by-step solutions from verified subject matter experts
Step: 2 Unlock
Step: 3 Unlock
