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Given that we are in the age of AI/ML, I often think of how the small deli where I worked was a perfect training ground for applying AI/ML in fresh supply chain planning. There are various use cases of AI/ML for fresh demandplanning of products, from producers to large grocery chains and even small delis in suburban Pennsylvania.
If “the forecast is always wrong,” is improving forecast accuracy even the solution to our demandplanning woes? Gaining a better handle on demand is compelling, especially when recent sales history is often no longer a good predictor. The post Can Improving Forecast Accuracy Address Our DemandPlanning Woes?
Or, why you need demandplanning for going viral on social media. Thanks to demandplanning innovations, supply chain planners are detecting potential demand spikes before they become global phenomena – even when that data comes from outside sources, like TikTok or Google Trends.
This week in supply chain and logistics news includes Blue Yonder being selected to support Border States, an electrical distribution company, with their warehouse management needs. Clorox Plans to Begin Overhauling Its U.S
Speaker: Lisa Anderson, MBA, CSCP, CLTD - President of LMA Consulting Group, S&OP Expert, and Speaker
The world of supply chain and logistics has been plagued with volatility, disruptions, and increased regulations. Join demandplanning and SIOP expert Lisa Anderson for a riveting discussion evaluating the geopolitical landscape and looking at the bigger picture to create a path forward.
Demandplanning engines have natural feedback loops that allow the forecast engine to learn. Since ML began being used in demand forecasting in the early 2000s, ML has helped greatly increase the breadth and depth of forecasting. The names of the suppliers, carriers, logistics service providers become search terms.
Updated: February 4, 2025 According to Michigan State University , demandplanning is a supply chain management process of forecasting, or predicting, the demand for products to ensure they can be delivered and satisfy customers. Should demandplanning be placed under supply chain management, sales, or finance?
Unlike some of the other trends articles we have covered at Logistics Viewpoints, which take a deeper dive into technology and application specific trends, this article looked at the top trends executives need to be paying attention to before their strategic planning meetings commence. Top Five Transportation Trends ; Chris Cunnane.
Before this experience, Alex spent several years at Subway where she was responsible for managing demandplanning for promotional, limited time offers, and R&D test products. The Key to Unlocking the Power of Your Supply Chain Data Strategy appeared first on Logistics Viewpoints. The post Context.
Artificial intelligence has been applied to just about every supply chain application imaginable, including transportation management and execution, demandplanning, supply chain planning, warehouse management, and order management. It has also been embedded in autonomous trucks, robots, and drones for navigation.
This article will examine the challenges Belcorp faced with managing its extensive product range and complex supply chain and how our solution set, which includes Service Optimizer 99+ (SO99+), DemandPlanning, and the Multi-Echelon Inventory Optimization (MEIO) model, transformed their operations. It played out as follows.
These decentralized networks aim to boost flexibility, reduce risk, and improve responsiveness, aided by technologies such as blockchain, AI-driven logistics, and expanded visibility into supply chains. DemandPlanning and Forecasting Cisco has integrated AI-driven forecasting and predictive analytics into its demandplanning processes.
We can take things to the next level in terms of interoperability and connected planning. AI will allow the extended enterprise to further connect logistics and production execution, create more visibility, and thus be more nimble and more proactive in terms of how we run the entire enterprise. But we’re engaged in that.
And demand patterns are highly unpredictable. With multi-echelon networks, supplier uncertainty, multiyear product lifecycles, and reverse logistics channels , aftermarket supply chains exceed the capabilities of traditional planning tools. Its time to move beyond the guesswork in demandplanning. The outcome?
Thanksgiving is also a time for logistics headaches. But there are a number of other areas that can result in logistics headaches as well. Feast Logistics Headaches […]. The post Thanksgiving Causes Logistics Headaches appeared first on Logistics Viewpoints. Let’s examine some of them.
The Failure of Existing DemandPlanning Solutions. During the pandemic, supply chain leaders turned off their demandplanning solutions. Re-implement demandplanning, trade promotion management, and revenue/price management together to improve the baseline demand signal. Lessons Learned. The reason?
And now on to this week’s logistics news. Uber Eats teams up with Office Depot for on-demand school supplies. The post This Week in Logistics News (August 13 – 19) appeared first on Logistics Viewpoints. Personally, I can’t touch pumpkin spice until at least October, if at all. Walmart’s supply chain woes.
This includes implementing Enterprise Resource Planning (ERP), Customer Relationship Management (CRM), DemandPlanning, Inventory Management, Transportation Management, and Warehouse Management applications. After capturing many of.
Below, we outline three ways blind shipping can help optimize your logistics, keep inventories healthy and save you money! Adapt To Fluctuating Inventory and Supply Chain Demand If your business faces seasonal demand changes or unpredictable customer buying patterns, accurately predicting inventory levels can be a struggle.
And demand patterns are highly unpredictable. With multi-echelon networks, supplier uncertainty, multiyear product lifecycles, and reverse logistics channels , aftermarket supply chains exceed the capabilities of traditional planning tools. Its time to move beyond the guesswork in demandplanning. The outcome?
Robinson announced a partnership with SAS to “unlock a new era of dynamic business planning for Retail and CPG companies.” Here are some excerpts from the press release: Until now, supply chain demandplanning and shipping execution often worked in autonomous siloes without connection, digital integration, or real-time visibility.
Companies have gradually moved away from the constraints of ERP and rigid systems to adopt advanced supply chain planning technology that enables them to better forecast demand, optimize inventory levels, streamline logistics, and improve overall efficiency to deliver meaningful, positive impact to the bottom line.
Jabil, perhaps, should not have made these commitments because their customer oversaw the demandplanning process and then forwarded their forecast to Jabil. This is normally how things are done; customers give a contract manufacturer their demand projection and it is the job of the contract manufacturer to execute that plan.
However, this process will also increase inventory carrying costs and place additional pressure on demand for existing facilities and square footage. It’s time to shift the dialog about labor in logistics. Simply stated, logistics jobs need to be more competitive with alternatives. Labor Shift – It’s About Want Not Need.
In order to achieve these priorities, leaders were most likely to say that improving demandplanning and rapidly analysing performance data are their best approaches, both chosen by 46% of respondents, followed by digital software transformation and innovation at 41%.
Webinar – DemandPlanning in VUCA Times with Ali Raza. Webinar – DemandPlanning in VUCA Times with Ali Raza. The Logistics of Logistics Podcast. Check out The Logistics of Logistics on Youtube. About Seth Page. Putting Supply Chains on Autopilot with Ali Raza.
Michael is the Vice President Transportation & Logistics at Mary Kay , one of the most enduring, successful direct sellers of personal beauty products in the world for more than 55 years. Mike Ringsdorf is the Vice President Transportation & Logistics at Mary Kay Global, a cosmetics company based in Texas. About Mary Kay.
Humans will still be very much in the picture, he argued, but one of the most important elements in the relationship between human and machine will continue to be trust.
For example, bottlenecks on the production lines can be optimized by sequencing campaigns based on: Expected batch formulations Equipment cleaning and setup on changeovers Outbound logistics capabilities. A quick guide to meeting consumer demand. The goal is to create a complete picture of the potential demand.
Consumer-Oriented DemandPlanning. The opportunity for better demandplanning at retail, wholesale, and distributor/franchise channels comes from the availability of data representing consumer sales as well as external data such as weather, sector benchmarks, and price monitoring applications.
The result is an end-to-end planning process operating on the highest quality data possible. The system allocates stock based on various parameters, enhancing service and volume maximization, enabling 100% autonomous planning! Achievements Through this transformation, Unilever has achieved multiple milestones.
Effective DemandPlanning and Forecasting Accurate demand forecasting is the cornerstone of a resilient supply chain. By leveraging data analytics, businesses can better anticipate customer demand, optimize production schedules, and avoid both stockouts and overstocking.
Long-term planning – often called strategic planning – has a time horizon of 1 – 5 years, and the plans may be reviewed when a new strategic decision needs to be made, or on a quarterly or annually basis. Medium-term planning – known as tactical planning. Only the next month’s plan firm.
The following will delve into some of the intricate farm-to-table challenges that supply chains face across sourcing, demandplanning, procurement and inventory management, transportation, and warehousing. There must be an end-to-end functional agreement of the design, its impacts, and benefits. To read the article, click HERE.
I recall how many companies plodded along with what we now accept as core Supply Chain functions lost amongst other departments e.g. Buying, Procurement and Logistics would often end up reporting to Finance.
This transformation delivers many benefits, including increased sustainability, but it also creates demand-planning and production-planning challenges. To profitably serve demand, automakers need to get the product mix right across EVs, ICEs, and hybrids — but they also need to plan precisely by channel and region.
Topping the winners for the week was software firm Oracle, up 5.1%, followed by carrier XPO Logistics, which rose 4.1%. CDC/TradeBeam Cognizant Techn Compliance Netw Cornerstone Sol DiCentral Dow Jones E2Open EnVista Epicor Hempstead Consu IBM/ILOG IHS iSuppli Infor Infosys Inside ERP INSIGHT, Inc.
This is combined with data from external sources on weather, logistics lead times, and sustainability performance. In many cases, the Aera solution runs on top of a planning system from a leading supply chain planning vendor that is already in place. appeared first on Logistics Viewpoints.
Last mile logistics challenges is not just about ecommerce, it is also about urbanization. Machine learning has been used to improve demand forecasting since the early 2000s. Demandplanning applications rely on a series of algorithms to take historical shipment data and turn it into a forecast. billion in 2018.
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