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Optimizing Wholesale Customer Retention & Predictive Analytics in the Specialty Food Industry

Last Updated: 03/27/2026

Case Organization

Bread SRSLY PBC

Our mission is to reunite people with sourdough when they thought good bread was off the table.


https://breadsrsly.com/

3310 PERALTA ST

Case Contributors

Case Disciplines

Customer Service & Account Management Data Management Growth Strategy Market Research Reporting, Financial Planning & Analysis Sales & Business Development

Skills & Expertise

Account Management Strategy B2B Customer Engagement Business Intelligence Framework Design Churn Analysis Customer Health Scoring Customer Lifetime Value Analysis Customer Segmentation Data Analysis Data-Driven Decision Making Demand Forecasting Industry Benchmarking KPI Development Market Research Market Trend Analysis Metrics Framework Design Playbook Development Predictive Analytics Pricing Strategy Promotion Strategy Retention Analysis Revenue Forecasting Risk Analysis Sales Strategy Development Scenario Planning Seasonality Analysis Strategic Planning Supply Chain Impact Analysis Time Series Analysis Wholesale Customer Analysis
Background & Objective

The challenge or opportunity you are trying to address for the organization.

For small and mid-sized specialty food brands, the ability to manage wholesale customer relationships is a crucial component of long-term business success. Retaining high-value wholesale clients, forecasting demand, and optimizing sales strategies are key drivers of growth in this competitive industry.

Learning Objectives

This is what students will learn as they complete the case.

This case challenges students to design a data-driven approach to managing and growing wholesale customer relationships in a resource-constrained environment. It requires integrating customer analytics, demand forecasting, and strategic account management to improve retention and revenue predictability in the specialty food industry. Students will explore how to make informed decisions without access to perfect data, building practical frameworks that can be applied across small and mid-sized businesses. The work reflects real-world challenges in B2B relationship management, analytics-driven growth, and operational strategy. 

  •  Analyze the drivers of wholesale customer retention, churn, and long-term account value within specialty food distribution channels 
  •  Evaluate key metrics and segmentation approaches used to assess wholesale customer health, engagement, and revenue contribution 
  •  Assess forecasting methodologies that incorporate seasonality, market conditions, and limited historical data to predict wholesale demand 
  •  Develop a structured framework for identifying at-risk accounts and prioritizing high-value customer relationships 
  •  Design scenario planning models that account for economic shifts, supply chain variability, and competitive pressures 
  •  Evaluate customer engagement and account management strategies that strengthen relationships and increase lifetime value 
  •  Develop a scalable analytics and reporting framework that enables small and mid-sized brands to make data-informed decisions 
  •  Synthesize customer health metrics, predictive insights, and retention strategies into a cohesive playbook for wholesale growth and operational resilience
 
Key Action Items

These are activities and action items you might want to complete in order to achieve the expected outcomes.

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