Jack Levis An interview with - Putting Analytics in the Driver's Seat
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An interview with Jack Levis Director of Process Management at UPS Putting Analytics in the Driver’s Seat Transform to the power of digital
Jack Levis goal is to turn that complex universe of Capgemini Consulting: You spoke data into business intelligence. of prescriptive analytics playing an effective role in route optimization. Let me give you an example. We have Can you give us more details on about 55,000 package car drivers in the its role in overcoming your key challenges? US alone and around 106,000 drivers, globally, for our entire vehicle fleet, Jack Levis: We have implemented and we deliver more than 16 million a number of prescriptive analytics packages daily. When you consider the projects across our business but the fact that every driver at UPS has trillions one that stands out from the rest is our of ways to run their delivery routes, route optimization program, based on the number of possibilities increases prescriptive analytics, called ORION exponentially. However, not all of these (On-Road Integrated Optimization and Jack Levis routes are necessarily optimal in terms of fuel efficiency and distance. Consider Navigation). We formally started the ORION project in 2003 and began Director of Process Management the fact that a reduction of one mile per to roll out the system in 2012. We are at UPS driver per day translates to savings of very serious about using prescriptive up to $50 million a year. The question modeling for our routes. So much so, becomes: how do you mine the sea of that we have 500 people dedicated data from our sensors and vehicles to to ORION. In fact, ORION is probably A reduction of one arrive at the most effective route for our one of the largest prescriptive analytics drivers? systems ever deployed. mile per driver per day translates to savings of Digitizing Operations up to $50 million a year. Capgemini Consulting: How did Our analytics system UPS start its digital transformation enabled UPS to Capgemini Consulting: Can you journey? start by giving us a background Jack Levis: Our digital journey eliminate 85 million to UPS and some of the unique challenges that a logistics player started with an early adoption of data miles driven per year. of your size faces? and analytics tools for improving our operations. As our operations became Jack Levis: UPS is a business that more complex and distributed in nature, thrives on managing complexity. the focus has been to improve business As I mentioned earlier, effectively mining processes, increase efficiency and the sea of data from our sensors and Meeting our high levels of customer cut costs. We had been following a vehicles to arrive at the most effective service entails complexity. We not only descriptive1 and predictive analytics2- route for our drivers is a huge challenge. aim to deliver every package on time, based system for a long time but what It is here that our prescriptive analytics but we provide customers with multiple has recently changed is our shift to system shines. It hides this large service options to meet their needs. We prescriptive analytics3. I can safely say amount of alternative routes while giving even allow adjusting of delivery choices that UPS is one of the few companies to drivers clear inputs, thereby taking the while the shipment is in route. Executing effectively use prescriptive analytics to guesswork out of the equation. The this mission means constantly gain insight for successful optimization. best part is that the system produces orchestrating orders, adjusting route these answers in as little as six to eight schedules and following up on package seconds. The idea is not to make big deliveries with a massive fleet of ground changes in driver routes. In fact, the and air vehicles. This exercise generates Our digital journey optimized route might look very similar to huge amounts of data feeds, from the driver’s normal route. However, the devices, vehicles, tracking materials started with an early real benefit lies in the distance it helps and sensors. Each of these feeds also adoption of analytics reduce – a quarter mile shaved here and comes with its own data format. Our a half mile shaved there. So, the system tools. keeps looking for ways to deliver minute savings throughout the day.
Jack Levis How Analytics Transformed Operations at UPS The Logistical Business Benefits Complexities at UPS of Analytics 55,000 Reduction of package car drivers 85 million in US alone miles driven/ year 106,000 drivers globally 8 million fewer gallons of fuel used 16 million packages daily Reduction in engine idling One driver = trillions of ways time by 10 million to run delivery routes minutes Shaving just one mile/ driver Reduction in carbon C02 = $50 million footprint by 6,500 savings a year metric tons The challenge: Arriving at the Analytics has changed the way most optimal route for drivers UPS functions
Jack Levis Capgemini Consulting: What evaluated. We then look at the best In the past, we used metrics that have been the tangible benefits way to meet those needs, and often showed incremental change from year that you realized by deploying analytics is needed. to year. We looked at things such as analytics systems in your number of deliveries made per hour, or operations? Our goal is to make business processes, the amount of time expended for a route methods, procedures, and analytics all Jack Levis: The deployment of vs. a work measurement standard. one in the same. For the front line user, descriptive and predictive analytics Those used to be the measure of the use of analytics results becomes systems several years ago enabled success for deliveries. But now, after just part of the job. UPS to reduce 85 million miles driven implementing our prescriptive analytics per year. That equates to over 8 million With systems that require large process system, the metrics have become far fewer gallons of fuel used. Prescriptive change, we spend significant effort more sophisticated and nuanced. We analytics adds to those gains. ensuring that the change can actually have moved from looking at lagging be attained. This often requires iterative indicators that focus on end results only We were also able to reduce engine prototyping so that we can successfully to looking at leading indicators. idling time by 10 million minutes. This led achieve the business gains. to significant savings in fuel consumption We created balanced scorecards that – around 650,000 gallons – and we have We followed this approach for our guide the front-line operators on areas reduced our carbon emissions by over prescriptive analytics system, ORION. to focus. The elements have been 6,500 metric tons. We tested the system over two years. carefully selected and weighted. The We had to prove that the program balanced scorecard measure correlates Now adding to this, deploying efficient would, indeed, measurably impact highly with true business results. prescriptive analytics systems has costs. Not only were the numbers were enabled UPS to eliminate miles from our impressive, but the fact that front line routes in 2013. The surprising fact is that operators and drivers were supportive we have realized this additional benefit with only 18% of UPS delivery routes got everyone’s attention. That helped The key to managing convince our senior management to test deployed. the program at other locations across change in roll out of the country. After testing the system in 15 different locations, final approval for digital initiatives is broad-based deployment of the initiative to take a collaborative across the company was given. As we deployed approach. analytics, we realized Capgemini Consulting: As part we could not continue of implementing analytics across your operations, did you have to Capgemini Consulting: What relying on old metrics. change the way you traditionally were some of the biggest issues looked at your metrics? UPS faced when implementing its Jack Levis: An important thing to note prescriptive analytics program? about analytics systems – especially Jack Levis: As I mentioned earlier, our Implementing and prescriptive analytics – is that change analytics system has been built to tell us management is required. New ways Measuring Digital of operating are being produced and the best delivery route for a particular day. If you consider that there are going front line employees must be educated to be 55,000 different drivers, which Capgemini Consulting: What and supported. This means changing means 55,000 different routes the is your approach to launching behavior. model has to work for – that is a very analytics initiatives? hard model to build. We would have our As we deployed analytics, we realized Jack Levis: The business drives that we often could not continue to parameters and all the dials tuned and technology at UPS. We don’t look at measure a new way of doing business the answer would be great on Tuesday. initiatives as ‘analytics projects’, we look with the same old metrics. So, we had to But the same system with Wednesday’s at them as business projects. Before come up with new metrics that enabled data would not work. So, definitely the launching an initiative, areas where effective measurement. model needed to have a lot of heuristics, the greatest business need exist are math, and business rules built in. That was a big challenge.
Jack Levis We spent years making our data better It is because of this collaborative and changing the algorithm so it wasn’t approach that our drivers are included so sensitive to changes in data. We had in the process, which is why there Our challenge hasn’t to have an algorithm and process that hasn’t been much resistance to change didn’t take a rocket scientist to use. In a when implementing analytics initiatives. been around identifying step-by-step matter we tested not only In many cases, drivers have said “my analytics talent as that the algorithm could be created, but stress is reduced”. This is because that we could transfer the knowledge to the system makes thousands of small much as it has been the front line. decisions for them, freeing up the driver to make the larger decisions of servicing in determining the Operational the customer. best way to train the Excellence hundreds of business Capgemini Consulting: With the Capgemini Consulting: significant shortage of digital skills people who are using Implementation of digital initiatives across industries, how does UPS entails large-scale change acquire its analytics talent? these tools. management. How did you convince drivers who relied on Jack Levis: Our challenge hasn’t been traditional route planning to shift to around identifying analytics talent as new analytical tools? much as it has been in determining the best way to train the hundreds of Jack Levis: We adopt a highly collaborative approach with our drivers business people who are using these Digital Future tools. For this, we provide role-based in implementing these initiatives. We training that teaches employees how are acutely aware that our drivers aren’t Capgemini Consulting: Looking to use the analytics system. When fully ahead, what are some of the new automatons who rely on insights from deployed, the system will offer our front- digital initiatives UPS is working the analytics system. When you have line supervisors and drivers the tools to on to further drive operational a prescriptive analytics system, usually test scenarios and make tradeoffs. They efficiency? problems arise because of issues with don’t need to be data experts, but they data. Counteracting bad data requires Jack Levis: Our current analytics need to understand which parameters collaboration with our drivers. This is systems are still largely static in nature impact which performance objective. why we have built-in buffers into our – we need to change that. They do not Drivers are graphically shown how the model where we acknowledge that account for unexpected situations, such algorithm is deriving different parts of the system is not perfect and that as traffic delays or accidents. In such the route so they can compare it with drivers have the opportunity to identify scenarios, our drivers are expected to their own experience and attempt to flaws. We let our drivers exercise their take a discretionary call. In future, we beat it. discretion. We tell them: if the model has anticipate moving from a static to a you doing something that won’t meet a In our analytics team, we also have dynamic manifest. For this, we are trying customer’s demand, do what’s right. people with business backgrounds to make our plans more flexible and with who understand the overall system provisions for real-time updates. objectives from an organizational perspective. So, while an analytics person will sift through algorithms, the We now want to use our software engineer will translate it into prescriptive analytics code, the business person will ensure that the solution meets the desired system to offer objectives. innovative services to our customers.
Jack Levis Capgemini Consulting: How do you As we go in to the future, we hope to perceive analytics adding further spin-off many new services based on value to route efficiency at UPS? real-time updates in the system. We Our goal is to move Jack Levis: Our current focus has want to be able to offer customers to been in trying to reduce the distance make last-minute requests. Calculating from our current static the costs of last-minute request changes covered during each delivery. We will from customers is another aspect that analytics systems to a continue to do that. But we also want to use our prescriptive analytics system an analytics system can deliver. This dynamic manifest. to offer more innovative services to our would enable us to possibly reschedule customers. We have already opened or re-prioritize deliveries based on up our internal supply chain to our several scenarios. customers to enable them to make specific pick-up/drop requests.
Jack Levis References 1 Descriptive analytics refers to a set of techniques used to describe or explore or profile any kind of data. 2 Predictive analytics encompasses a variety of techniques that analyze current and historical facts to make predictions about future, or otherwise unknown, events. 3 Prescriptive analytics represents the final phase of business analytics, which mines data to suggest decision options to take advantage of a future opportunity or mitigate a future risk.
Jack Levis Jack Levis Director of Process Management at UPS UPS is a global package delivery company headquartered in Atlanta, USA. The company operates in over 220 countries with over 399,000 employees. In 2012, it had over 8.8 million customers with delivery volume of some 4.1 billion. The company generated $54 billion in revenue in 2012. UPS has been at the forefront of deploying advanced analytics in optimizing its operations. Capgemini Consulting spoke with Jack Levis, Director of Process Management at UPS. About Capgemini Capgemini Consulting is the global strategy and transformation With around 120,000 people in 40 countries, Capgemini is one consulting organization of the Capgemini Group, specializing of the world’s foremost providers of consulting, technology in advising and supporting enterprises in significant and outsourcing services. The Group reported 2011 global transformation, from innovative strategy to execution and with revenues of EUR 9.7 billion. Together with its clients, Capgemini an unstinting focus on results. With the new digital economy creates and delivers business and technology solutions that creating significant disruptions and opportunities, our global fit their needs and drive the results they want. A deeply team of over 3,600 talented individuals work with leading multicultural organization, Capgemini has developed its own companies and governments to master Digital Transformation, way of working, the Collaborative Business ExperienceTM, and drawing on our understanding of the digital economy and draws on Rightshore®, its worldwide delivery model. our leadership in business transformation and organizational change. Learn more about us at www.capgemini.com. Find out more at: http://www.capgemini-consulting.com/ Rightshore® is a trademark belonging to Capgemini Contacts Didier Bonnet, didier.bonnet@capgemini.com Jerome Buvat, jerome.buvat@capgemini.com Capgemini Consulting is the strategy and transformation consulting brand of Capgemini Group. The information contained in this document is proprietary. © 2013 Capgemini. All rights reserved.
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