Category archives: analytics
Declining letter volumes and parcel competition are serious challenges faced by postal companies. Having a competitive supply chain is key to thrive, and survive, in this environment. How can postal companies make headway? The answer lies on changing culture as much as it does on rethinking technology.
Change should start with culture and organizational alignment
Global e-commerce growth and converging technologies are pushing postal companies to diversify their revenues and increase operational efficiency quickly. To support this change, many postal operators are modernizing their technology stack and relying increasingly on advanced analytics. UPS, for instance, has managed to save up $50 million a year in fuel, vehicle maintenance and time by optimizing vehicle routes with a big data model. The company has also won several awards for providing consumers with more control over deliveries using digital products.
What are companies looking for in supply chain network design technologies? What works well, and what are the challenges? We commissioned Supply Chain Insights to conduct independent research about this topic and discussed the findings in a recent webinar. Today, we’re pleased to share a more extensive report on this topic. The report covers perceptions about supply chain network design (SCND) as a process and outlines the key benefits and barriers experienced by companies when using SCND technology. Let’s take a look at some of the key findings.
Reflections following the Gartner Supply Chain Executive Conference in London
Last month, our team had the pleasure to attend Gartner’s Supply Chain Executive Conference in London, a growing event that we’re always thrilled to participate in. This time, the event hosted 15% more visitors and took place at the Intercontinental O2 hotel. For us, it was a special occasion because we had the opportunity to give the event’s audience a preview of AIMMS SC Navigator – our new analytics solution for supply chain teams. It was also a great venue to re-connect with existing customers and meet Gartner analysts, who gave us valuable feedback on our product. The event’s theme was ACT – Aspire-Challenge-Transform in a disruptive world, a call to action to recognize the impact of disruptions and define a digital supply chain strategy to improve performance. Advanced analytics (machine learning, advanced algorithms, deep learning, neural networks) are at the core of these disruptions and a crucial enabler for digital transformation. Still, companies struggle to adopt advanced analytics for supply chain. Resources and data quality are the most common obstacles.
The first half of this year has flown by and for many of us, it’s time for a much needed vacation. We’ve put together a new reading (and watch) list for this summer to help you gather some refreshing ideas as you gear up to plan for 2018. The list includes the best of our blog and news items, our latest webinars and most recent case studies. It’s the perfect companion for an inspiring holiday break!
Best of our Blog:
- 3 compelling reasons to start using Prescriptive Analytics: AIMMS’ SVP, Gertjan de Lange, discusses 3 major reasons businesses are feeling more compelled to adopt Prescriptive Analytics, a form of advanced analytics that uses techniques like machine learning and mathematical modeling to help you improve decision making.
- AIMMS featured in IT Subway Map of European Supply Chain Software Providers: We’re proud to report that we’ve been featured in 5 different subway lines, or software categories, in this year’s IT Subway Map of European SC Software Providers. Looking for a software provider for Business Analytics, S&OP, Inventory Optimization, Production Planning & Scheduling or SC Network Design? Browse the map and you’ll find yourself in our stop!
- Supply Chain Network Optimization Technology is ripe for disruption: Network optimization software has become a big business that’s experienced exponential growth. There has been strong adoption of boxed solutions that are feature rich with many bells and whistles. Why hasn’t it become cheaper or easier to have an optimized network? Chris Gordon, AIMMS VP North America, discusses this on our blog.
- Why you don’t need perfect data to start implementing S&OP: To truly leverage S&OP to improve business performance and predictability, you need to embark on a change management process and you need the right technology to self-enable your team. Often, teams think they also need plenty of clean and accurate data to do it right. But starting small can pay off, as Boon Edam’s Aron Waas (Global SC Director) explains in our recent blog post.
- Companies in Asia Pacific eager to innovate with Supply Chain Optimization: The adoption of advanced analytics has moved at a much slower pace in Asia Pacific compared to Europe or North America. But the tide is turning, as Lei Wang, AIMMS VP Asia Pacific, explains in this blog post.
Sales & Operations planning has been around for 30 years. It was created initially by Oliver Wight and has become the standard procedure to improve business performance and predictability. Throughout the years, we’ve witnessed waves of interest in S&OP and its evolution IBP, which incorporates financial planning. In the past 2 years, we’ve seen the appeal of S&OP increase a lot more. But companies tend to struggle when it comes to finding the right technology to enable the process. In this blog post, I will delve into 5 issues companies typically experience with their S&OP software.
The whole purpose of S&OP is to discuss important questions today to prevent them from causing urgent issues 12 months from now. The business impact of this is profound. As Lora Cecere (Supply Chain Insights) explains, an effective S&OP process can result in a more controlled, aligned, agile, proactive and strategic supply chain. But to implement it effectively, companies first need to understand why S&OP is important for their business. Every company has different business drivers and different requirements. This makes S&OP implementation a difficult process, especially when it comes to finding the right tools.
Internet of Things (IOT), Cost-to-Serve, Segmentation and Supply Chain CoEs are unable to deliver promised business value without Prescriptive AnalyticsPosted on November 08, 2016 by Chris GordonLeave a reply
Gartner’s Hype Cycle for CSCOs is a valuable read for current and potential Supply Chain leaders. It brings together a long list of trends, enabling technologies, business frameworks and competencies that should be in your consideration set. The big theme of course, is the digitization of the supply chain and the implications it will have on business performance. What seems very clear is that if you’re not planning to jump aboard this train very quickly, you’re going to have what will appear to be a stone-age supply chain within 5-10 years.
As a Gartner recognized Prescriptive Analytics software company, we’re most interested in all things digital that have analytical flavor by nature. We see our clients deliver strong value from digital innovation, but only when organizations have the knowledge and technology to do things differently. This requires Prescriptive Analytics, a type of advanced analytics that results in a recommended ACTION.
In other words, for digital transformation to succeed, organizations need to be able to “take action” based on their data. Let’s take a look at some of the competencies mentioned in Gartner’s report so I can provide evidence to back up this outrageous statement.
The Brexit is a reality and with it, companies in Europe are facing even more uncertainty than before. There is serious concern that the UK’s decision to leave the EU will bring further destabilization and economic risks. How will it impact your supply chain and your bottom line? This article discusses 5 key things supply chain leaders should consider post-Brexit. It also explains how analytics can help you determine the best way forward. Specifically, I will explore how Prescriptive Analytics can help you improve decision-making and make data actionable in an increasingly volatile economic landscape, instead of only providing insight into your data’s behavior.
My takeaways from Gartner’s Supply Chain Executive Conference 2016
Apps have come to define the way we work and live in many ways. We have cars with Apps, watches running Apps, TVs that operate with Apps…as the phrase goes “There’s an App for That.” There are Apps out there for just about anything, it’s hard to imagine a world without them. Why do we love Apps so much? We get the information we need upfront, they can be used anytime, anywhere, they help us connect, and they serve a specific purpose.
When it comes to Supply Chain Analytics, an “Apps approach” can have just as many benefits. Gartner’s Noha Tohamy offered a great presentation about this at their recent Supply Chain Executive Conference. But what exactly is a Supply Chain Analytics app? Noha defines it as “a solution developed in-house or by a service provider, targeted at a specific use case.” By taking an Apps approach, companies can build an app library with solutions. Think for instance of a Source Optimization app for your retail company – a custom solution that helps you understand how and when to source your supplies, foresee possible supplier issues and adapt your plans accordingly. Another example, this time in the oil industry, would be an oil blending app. Oil blending is not easy. Blending rules are always in development and are considered to be extremely proprietary. A custom Optimization or Prescriptive Analytics app can be adapted quickly as the rules change, it can empower people in your organization, be readily accessible for end users and help you create better blends.
It comes as no surprise that business and supply chain leaders are seeking new approaches to get ahead in the analytics age. Implementing an analytics strategy, and in particular implementing prescriptive analytics, can significantly improve revenues and drive down costs. How can you ensure that your team is prepared to embrace these new technologies and approaches? Experience shows us that technology is the easy part. Getting buy-in agreement and changing your company culture to embrace analytics is often more difficult. A Center of Excellence (COE) can help you start off with the right team structure, engage the right stakeholders and put you on the right path to implementation.
It’s no mystery that some of the world’s largest retail chains are struggling to survive. Walmart is closing a record number of stores (269) in the U.S. and abroad this year. Trusted names like Sears, J.C. Penney, and Gap have also lost their momentum. In Europe, V&D, a major Dutch department store, and Brantano, a large footwear retailer operating in the Netherlands, Belgium and the UK, have officially declared bankruptcy. Demand is sluggish and many have failed to adapt and streamline shopping experiences for today’s connected consumer. Still, even in the midst of this turmoil, retailers like Kroger and Zalando are thriving. What are these companies doing differently and what trends should retailers look out for? Let’s take a closer look.