How can Relex improve its demand forecasting algorithms to better handle seasonal product fluctuations?

Introduction

To improve Relex's demand forecasting algorithms for better handling of seasonal product fluctuations, we need to dive deep into the current system's capabilities, user needs, and market dynamics. I'll outline a comprehensive approach to tackle this challenge, focusing on understanding the problem, identifying key stakeholders, analyzing pain points, generating solutions, and measuring success.

Step 1

Clarifying Questions (5 mins)

• Looking at the product context, I'm thinking Relex might be serving various industries with different seasonal patterns. Could you help me understand which specific industries or product categories we're focusing on for this improvement?

Why it matters: Different industries have unique seasonal patterns that require tailored forecasting approaches. Expected answer: Focusing on retail, specifically fashion and consumer electronics. Impact on approach: Would tailor solutions to address fashion's short product lifecycles and electronics' rapid technological changes.

• Considering user behavior, I'm curious about the current accuracy levels of our forecasting algorithms. Can you share some insights on our current performance metrics, particularly during peak seasonal periods?

Why it matters: Establishes a baseline for improvement and highlights specific areas of weakness. Expected answer: 80% accuracy overall, dropping to 65% during holiday seasons. Impact on approach: Would prioritize solutions that specifically address holiday season challenges.

• Regarding product lifecycle, I'm wondering about the maturity of our current forecasting system. How long has the current algorithm been in place, and what major updates have been made recently?

Why it matters: Determines if we need an overhaul or incremental improvements. Expected answer: Algorithm is 3 years old with minor annual updates. Impact on approach: Might suggest a more comprehensive redesign rather than small tweaks.

• Thinking about company alignment, I'd like to understand how improving seasonal forecasting fits into Relex's broader strategic goals. What are the key business objectives driving this initiative?

Why it matters: Ensures our solution aligns with overall company direction. Expected answer: Aiming to reduce inventory costs by 15% and improve customer satisfaction scores. Impact on approach: Would focus on solutions that balance inventory optimization with product availability.