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Over the last two years, I actively engaged technologists and business leaders to redefine demandplanning. In the industry, supply-centric techniques reign with lots of bravado and messaging on control towers, Demand-driven Materials Requirements Planning (DDMRP), and generative AI. Clear mission.) I think so.
This article will explore the different retail channels and reveal tips for finally mastering demand forecasting for the fashion industry. Demandplanning for direct and indirect channels. The COVID pandemic certainly introduced demand shifts and supplier challenges which have been clearly demonstrated in the fashion industry.
Or, why you need demandplanning for going viral on social media. Thanks to demandplanninginnovations, 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.
The result is an end-to-end planning process operating on the highest quality data possible. Centralized DemandPlanning became the cornerstone that streamlined operations, leading to not just efficiency but an alignment across functions across the entire organization.
Speaker: Lisa Anderson, MBA, CSCP, CLTD - President of LMA Consulting Group, S&OP Expert, and Speaker
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. Several issues are converging simultaneously, creating a precarious path forward.
Advanced supply chain planning software leverages these probability distributions to optimize inventory targets, balancing service levels against carrying costs with mathematical precision. Real-World Success: DemandPlanning & Supply Planning Results Industry research supports the effectiveness of probabilistic forecasting.
Advanced supply chain planning software leverages these probability distributions to optimize inventory targets, balancing service levels against carrying costs with mathematical precision. Real-World Success: DemandPlanning & Supply Planning Results Industry research supports the effectiveness of probabilistic forecasting.
This strategic partnership aims to improve demandplanning efficiency, optimize inventory performance, and elevate service levels. The company’s dynamic approach and commitment to innovation have fueled its expansion to five strategically located warehouses, enabling comprehensive coverage of Central and Southern Italy.
A New Era of DemandPlanning White Paper Learn more about these new demand models in this whitepaper. Download Now AI Solutions for Complex DemandPlanning For supply chain professionals, managing demand involves analyzing multiple signals from diverse sources. Sign up for upcoming sessions here.
They view their implementation of a tightly integrated suite of applications delivered in a public cloud infrastructure from Oracle as a platform on which they can build to help drive continuous innovation. HWI uses an innovative way to produce and deliver monolithic products in 55-pound bags. HWI employed a crawl-walk-run methodology.
The Secret to Smarter Demand Forecasting AI and machine learning have made significant strides since we first pioneered their use in supply chain planning more than a decade ago, but true success comes from more than just machine learning alone. Combining machine learning with probabilistic demandplanning. The secret?
At that time, people working in R&D were largely silo based and did not really know how a carefully crafted innovation made the transition from bench top development, through pilot plant testing and eventually onto supermarket shelves.
Flexible Forecast Aggregation that simplifies demandplanning by allowing demand teams to plan at the aggregate level, while retaining the variables and details necessary for accurate supply planning processes. Demand planners need to be able to act quickly and decisively,” says ToolsGroup CEO, Inna Kuznetsova.
In an era marked by rapid market shifts and evolving business landscapes, precision and speed in demandplanning have transcended from being mere advantages to absolute imperatives. This was the central theme of Piet Buyck’s recent webinar, “Implementing an AI-First DemandPlanning Solution.”
The value of peer-to-peer learning and networking was evident at last month’s Ryder Innovate conference — “an exclusive gathering of senior leaders in transportation, logistics, and supply chain seeking strategic insight, new ideas, and thought leadership to improve their supply chain and fleet operations.” DemandPlanning.
“Our flexible, customer-oriented approach helps us set the standard for service and innovation in the water technology industry,” said Ilaria Mercanzin, Group Demand & Resources Planning Manager.
That’s why we eat, sleep, and breathe innovation and never stop looking for ways to help our customers get the most out of their partnership with us and make their supply chains a force for good in the world. The end result is simple: higher short- and medium-term accuracy and more proactive planning.
Collaboration between Sales and Operations professionals in the demandplanning process is critical if you want to achieve better delivery rates, higher service levels, fewer stock-outs and increased customer satisfaction. THE DEMANDPLANNING PROCESS (FOR SALES) Simplify the inputs needed by Sales.
That’s why we’re here to break it down for you and show why it’s high time you included causal forecasting in your demandplanning toolkit. Manufacturers can supercharge their predictive analytics capabilities by embracing innovative technology that supports it, like Logility. What is Causal Forecasting?
Instead of large-sized packs of beer, consumers demand smaller packages that are easier to carry. Consumers are also expecting more innovative packaging, which can add to production complexity. Therefore, the key to success will come from integrating their innovation pipelines with their sales and operations planning (S&OP).
Not only is manual scenario planning a tedious and time-consuming job, but it also often results in suboptimal decisions because too many granular scenarios or too few wide scenarios were created — missing critical levers and decision points. However, identifying the right influencing factors in demandplanning is easier said than done.
A recent survey of demand planners’ concerns and day-to-day experiences sheds light on the challenges faced by planning teams today and highlights the pressing need for innovative solutions to solve for them. Demand planners play a pivotal role in supply chain management. The Time Is Now.
At the event, James Rice, MIT, spoke on innovation, and his reflections on Clayton Christensen’s 1997 classic business book, the Innovators Dilemma. This is disruptive innovation. The spark from Invention to Innovation is slow. Technology invention is happening, but the translation to innovation is slow.
ToolsGroup’s continued focus on customers has driven technological innovations that make its solutions invaluable to midmarket companies. With a complete set of out-of-the-box capabilities for demandplanning, inventory optimization, and replenishment, companies experience shorter time to implement and faster time to value.
ToolsGroup provides a uniquely effective approach to inventory optimization and demandplanning leveraging probabilistic planning and decision support to manage the product line across SKUs.
Direct access to customer data through D2C enables product improvement, innovation, and transition opportunities. Consumer-Oriented DemandPlanning. Better and faster feedback on your short life-cycle products: In this “build anywhere, sell everywhere” world, CPG product life cycles continue to get shorter.
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?
Like any significant change, nothing happened overnight as slowly but surely FMCG companies made massive strides in cost, efficiency, service and innovation delivery. Is it nave to believe that the Supply Chain is now considered as equally important as Finance and Sales?
This article has also been published on Business Wire o9 Solutions today announced that LIXIL in the Americas, pioneer of water and housing products across brands including American Standard, GROHE and DXV, will deploy the next-generation AI-enabled o9 platform for demandplanning.
Last Mile Innovation. For that reason, retailers continue to look for innovative ways to reduce costs. The Swiss project is not the only last mile innovation in the works. 2] Will Parker, “ Pandemic Delivery Boom Fuels Demand for ‘Last Mile’ Space ,” The Wall Street Journal, 30 November 2021. [3] Footnotes. [1]
Last Mile Innovation. For that reason, retailers continue to look for innovative ways to reduce costs. The Swiss project is not the only last mile innovation in the works. 2] Will Parker, “ Pandemic Delivery Boom Fuels Demand for ‘Last Mile’ Space ,” The Wall Street Journal, 30 November 2021. [3] Footnotes. [1]
As seasonality is an important factor, ice cream producers have to deal with great uncertainties and fluctuation in demand. Demand is high when it’s warm outside, and lower when it´s cold, but when is the ideal time to start production? Ultimately, it’s all about having a reliable demandplan.
ToolsGroup has a long history of innovating with our customers in mind. MARCH 2023 – ToolsGroup earned a Higher Performer badge in G2’s DemandPlanning Grid® – G2’s scoring criteria is that products shown on the Grid® for DemandPlanning have received a minimum of 10 reviews/ratings in data gathered by March 07, 2023.
The Gartner conference confirmed that AI is not the future anymore, it is the heart of the change that enables the new processes of the future as we are building them, said Piet Buyck, SVP of Innovation Strategies. Many wanted abilities to respond to disruption and impacts to their demandplan while also preparing for upcoming promotions.
However, Logility’s GenAI capability is designed specifically for supply chain use cases, providing critical answers about top products, forecast insights, demandplans, and more. Up Next Generative AI and decision intelligence continue to redefine the work of our supply chain professionals.
AI-Driven Probabilistic Planning to Embrace the Unexpected We’ve all witnessed the remarkable evolution of artificial intelligence (AI) and how its innovations have made waves across industries. A basic form of probabilistic modeling has long been used in demandplanning. The supply chain is no exception.
E2open has come up with an innovative way of doing this. The company provides demand and inventory planning solutions based on a public cloud architecture. They can then use the data to provide an apples-to-apples benchmark on a variety of innovative supply chain metrics applicable to the grocery supply chain.
Once you see a demand stream, you cannot unsee it. Companies are either driven to be innovators or followers. I am excited that Kinaxis and o9 Solutions are building the capabilities to analyze demand streams and drive bi-directional orchestration. Each, even though each company is very different, is an innovator.
The power of collaboration and innovative partnerships Collaboration emerged as a central theme at LogiMed, emphasizing the potential for partnerships to expand value rather than compete for larger shares. This collaborative approach not only strengthens relationships but also drives efficiency and innovation across the supply chain.
While this fundamental shift will produce enormous benefits for the environment, it’s creating challenges and complexity for the world’s automotive demandplanning teams. To add to this complexity, today’s consumers are demanding and craving product customization. It also collates risk and demand assumptions.
” Product innovators in their sectors. Driving process innovation agendas. ” The assumption that traditional demandplanning focused on order patterns or the use of S&OP to understand demand is insufficient. Evolving Planning Architecture and Taxonomy. I encourage you to be an innovator.
The global supply chain is very political and lacks a unified data model at the planning level. For example, DRP and TMS have nothing in common, and revenue management (price or promotion management) does not connect to demandplanning.) As a result, outside-in planning includes defining a market-driven master data layer.
Mr. Angove referred to the current situation as the beginning of an innovation shockwave. Blue Yonder has three main themes where the $1 billion in research and development will be allotted: customer experience and the cloud, accelerating all Blue Yonder roadmaps, and investing in new innovation.
This week I spent time in Silicon Valley talking to technology innovators. Disruption in supply chain planning is happening. We are on a path to reinvent decision-support technologies like supply chain planning. They were very proud of their work in planning with a number of pharmaceutical manufacturers. My reaction?
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