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

Mini-Case 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 (7:30 AM -
9:30 AM on weekdays and 10:00 AM -12:00 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: 15 employees, including:
-2 Managers
-8 Baristas (4 full-time, 4 part-time)
-5 Kitchen Staff (2 full-time, 3 part-time)
- Customer Footfall: Average of 200 customers per day, with peaks of up to 350 customers on weekends
- Seating Capacity: 50 seats indoors and 20 outdoor seasonal seats
- Current Average Wait Time: 12 minutes during peak hours, with a goal to reduce it to under 5 minutes
- Customer Satisfaction Rate: 85%, 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 caf's 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:
1. 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.
2. Workforce Optimization: Assess staffing levels and schedules against customer traffic patterns.
Recommend adjustments to ensure optimal staffing during peak times.
3. Layout and Space Utilization Review: Evaluate the caf's layout and seating arrangement for potential
improvements to facilitate smoother customer flow and increase comfort.
4. Technology Utilization: Explore the adoption of technological solutions such as a mobile ordering
system, digital menu boards, and an efficient point-of-sale (POS) system to speed up transactions and
reduce wait times.
5. Quality Assurance Measures: Propose methods to enhance service consistency and accuracy, including
staff training and customer feedback mechanisms.
Data for Analysis:
1. Detailed Hourly Footfall Data for a Typical Week:
Weekdays (Monday to Friday)
Morning Peak (7:30 AM -9:30 AM): 70-90 customers.
Lunch Peak (12:00 PM -2:00 PM): 50-70 customers.
Afternoon (2:00 PM -5:00 PM): 20-30 customers per hour.
Evening (5:00 PM -8:00 PM): 30-50 customers.
Weekends (Saturday and Sunday)
Morning (8:00 AM -10:00 AM): 60-80 customers.
Midday Peak (10:00 AM -12:00 PM): 100-120 customers.
Afternoon (12:00 PM -5:00 PM): 40-60 customers per hour.
2. Breakdown of Transaction Types:
Dine-In: 60%
Takeaway: 30%
Online Orders: 10%
3. Current Staff Shift Patterns and Labor Costs:
Managers: 2(1 per shift, opening and closing)
Baristas: 8 total; 4 per peak shift (7:00 AM -1:00 PM and 1:00 PM -7:00 PM)
Kitchen Staff: 5 total; 2-3 per shift depending on expected footfall.
Labor Costs: Approximately $18,000 per month
4. Layout Schematics of the Caf:
Seating Capacity: 50 indoors, 20 outdoors
Order Counter: Located near the entrance, causing some congestion.
Pick-up Area: Adjacent to the order counter, limited space for waiting customers.
Kitchen and Barista Station: Efficiently located but with limited visibility to customers.
5. Recent Customer Feedback and Satisfaction Survey Results:
Overall Satisfaction: 85%
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 30 orders per hour.
Kitchen staff can prepare 40 orders per hour.
The goal is to reduce wait times to under 5 minutes during peak periods.
The current layout contributes to a 2-minute additional wait due to congestion.
10% of current orders move to mobile ordering, reducing physical queue by 10%.
Average transaction time at the counter is 2 minutes.
Deliverables (combine these two reports together and submit a single pdf file at the Brightspace
link):

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