firstshift maia

Taming the Bullwhip Effect: AI and Demand Sensing for Supply Chain Strategy

In today’s fast-paced and ever-changing supply chain landscape, the bullwhip effect has become an all-too-familiar challenge for supply chain professionals. This phenomenon, which occurs when minor fluctuations in consumer demand lead to significant disruptions upstream in the supply chain, can wreak havoc on inventory management, supplier performance, and overall supply chain efficiency. To address this issue and find the true signal in the noise, it’s time to consider the powerful new solution at our disposal: AI-driven demand and supply planning with demand sensing.

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The Hidden Threats of Spreadsheet-Based Supply Chain Planning

Over the last few decades, the global supply chains have evolved in extraordinary ways, forcing rapid change in just about every sector. And yet, many companies today are still applying outdated methods to their supply chain planning. According to a 2020 survey conducted by Modern Materials Handling, a staggering 45% of supply chain professionals reported are using mostly or entirely manual processes. At a time when supply chains all over the world were being rocked by the pandemic, it’s hard not to dwell on how digital and automated processes would have helped companies to sense and respond better to swings in market demands, or issues of raw material and product scarcity, shipping delays, and labor shortages.

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The Sweet Science of Halloween Supply Chain Forecasting and Planning

Halloween is one of the most anticipated holidays of the year, and it’s not just the costumes and decorations that get people excited. For many, the real treat is indulging in Halloween candy. As the spooky season approaches, it’s essential for candy manufacturers and retailers to meticulously plan their supply chain and leverage ai-powered demand sensing. In this blog post, we’ll dive into the importance of forecasting in Halloween supply chain planning, with a particular focus on the rising cost of sugar in the United States.

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How to Reduce Inventory with AI-Driven Planning

Are you tired of struggling to reduce inventory? Is excess inventory bogging down your supply chain? Do manual spreadsheets leave you feeling frustrated and overwhelmed? I’ve been there, and I’m here to guide you toward a solution that will revolutionize the way you manage inventory. Imagine a world where you can optimize inventory investments, increase forecast accuracy, and accelerate your supply chain planning cycles – all with the power of artificial intelligence (AI). Welcome to the future of supply chain management, powered by Firstshift.ai.

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5 Things Every CSCO Should Know About Generative AI

As a Chief Supply Chain Officer (CSCO) of a consumer goods company, you are no stranger to the constant pursuit of productivity, automation, and actionable insights. In this dynamic and challenging global marketplace, staying ahead of the curve is essential for driving faster and better decision-making processes. Excitement abounds as ground-breaking technology, generative AI, emerges as a game-changer for supply chain planning.

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Will the Power of AI Transform Supply Chain Planning?

Are you struggling to improve visibility, synchronize supply and demand, and optimize your planning processes with limited resources? If so, you are not alone. Many supply chain planners face these challenges daily, searching for new insights, automation, and ways to leverage their teams more effectively. In this blog post, we explore how Firstshift, a pioneering startup in AI-driven supply chain planning, can help you overcome these obstacles and achieve success.

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