Company Context

LogiWare is a mid-sized logistics company specializing in e-commerce fulfillment, operating 10 warehouses across the U.S. With a workforce of 2,000 employees, LogiWare has seen a 25% increase in order volume during peak seasons, resulting in pressure on warehouse operations and a decline in picking efficiency. Currently, the average picking time per order has increased by 15% compared to the previous year, leading to delayed shipments and customer dissatisfaction.

Problem

The VP of Operations has identified that warehouse workers face challenges such as inefficient route planning, lack of real-time inventory visibility, and inadequate training on new technologies. These issues are exacerbated during peak seasons, where the demand for quick order fulfillment is critical. LogiWare aims to implement features that can improve picking efficiency by at least 20% during these high-demand periods.

Deliverables

1. Propose features that address the identified pain points of warehouse workers.
2. Prioritize features based on potential impact and feasibility.
3. Define success metrics to measure the effectiveness of implemented features.
4. Create a roadmap for feature development and deployment.
5. Identify potential risks and mitigation strategies associated with the implementation.

Constraints

• Budget for development is capped at $500,000.
• Features must be implemented within a 6-month timeline before the next peak season.
• Must ensure minimal disruption to current operations during implementation.