Bonds had a yield curve inversion on August 14th. This often often signals a recession within about 14 months. Demand planning is difficult in these circumstances. This article discusses how supply chain teams can do better in these circumstances.
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Archive for Demand Management
Success in omnichannel commerce requires solutions designed for the way customers shop today. Retailers should look for a demand forecasting and inventory optimization solution that understands digital demand is now being fulfilled through physical stores and can account for channel demand patterns and emerging omni-fulfillment strategies.
Read More →It was recently announced that Walmart has expanded its use of autonomous mobile robots (AMRs) used for real-time, on-shelf product data. Walmart will put these AMRs in 350 stores. The robots come from Bossa Nova Robotics. I recently had the chance to talk to Sarjoun Skaff, the cofounder and chief technology officer at this San Francisco based company. I had seen AMRs with cameras designed to track inventory in stores before. The robots I saw […]
Read More →There are a lot more demand forecasts being made today at companies then their used to be. Many of these forecasts depend upon having more data. Traditionally, demand management applications used order shipment history to make forecasts. But gradually new data sets were added that improved the forecasting accuracy. A demand management application can truly be a Big Data solution today.
Read More →Demand modeling has emerged as a key decisioning tool in supply chain design. Standard forecasting tools can fall short if they can’t take into consideration external causal factors that drive demand like weather and economic and political indicators, or help predict demand 5-10 years out when making long-term strategic decisions.
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Supply Chain Brief
AI is Changing Everything We Thought About Forecasting Demand
The rise of cloud computing, smart devices and IoT have all resulted in a massive data explosion. By 2025, the amount of data will double every 12 hours. AI now has the ability to consume data far more efficiently than humans, delivering on the possibility of insights and predictions never before imagined. But McKinsey reports that only 33% of organizations are effectively using internal and external data to take advantage of AI capabilities. Predicting future […]
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