Raj Govindarajan agreed to answer questions about KeHE Distributors digital transformation. Mr. Govindarajan is the Senior Director, Supply Chain (Systems, Processes & Analytics) at KeHE. KeHE is a national wholesale food distributor that has been in business for 70 years. Steve Banker: Tell me about KeHE and KeHE’s supply chain! Raj Govindarajan: At KeHE Distributors, […]
Companies like Amazon, Walmart, Alibaba, and Zara are leading the path in the use of technology and advanced analytics in managing supply chains. Artificial Intelligence (AI) and Machine Learning (ML) are of the hot topics being discussed in the retail world. Across the globe, whether they are grocery, mass merchant, or fashion, retailers are looking […]
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 […]
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.
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.
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 […]
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.