How is AI reshaping supply chain management, and what role is Logility playing in this transformation? In today's episode, I sit down with Scott Tillman, Senior Vice President of Innovation at Logility, to explore the company's groundbreaking approach to integrating artificial intelligence into supply chain operations. Logility's digital supply chain platform leverages AI to recognize patterns and improve forecast accuracy, helping clients reduce inventory by 20% and unlock significant working capital.
Scott shares insights into how AI empowers supply chain managers with real-time insights, significantly reducing latency and enabling more effective decision-making. He provides a comprehensive look at how Logility tailors its platform to scale with clients, meeting them wherever they are on their digital transformation journey. We'll delve into how the company has focused its AI efforts on specific use cases that deliver tangible value, such as optimizing inventory and improving demand forecasting.
We'll also discuss future trends like prescriptive AI guidance and the intelligent automation of routine tasks. As AI use becomes more pervasive, companies must adopt a portfolio approach, targeting high-value use cases that drive tangible business impact. Are you ready to understand how AI can transform your supply chain strategy and operations? Join us to uncover how Logility's innovative platform can redefine your approach.
What are your thoughts on AI's role in supply chain management, and where do you see the most significant opportunities? We'd love to hear from you!
[00:00:00] Has artificial intelligence truly begun to revolutionise supply chain management?
[00:00:08] Well today here on Tech Talks Daily we're diving into a fascinating discussion with Scott Tillman.
[00:00:14] He's the SVP of innovation at a company called Logility and I want to uncover how their digital
[00:00:21] supply chain platform is helping to transform businesses and how Logility is harnessing AI
[00:00:28] to not only enhance pattern recognition and forecast accuracy but also streamline operations
[00:00:35] and decision making processes. And I also want to explore how this innovative approach has already
[00:00:41] led to a 20% reduction in inventory for clients, ultimately freeing up valuable working capital.
[00:00:49] And as we navigate the complexities and the opportunities presented by AI in supply chain
[00:00:55] management I invite you to join me and learn more about how technology is making a tangible
[00:01:00] difference in the efficiency and scalability of businesses. So buckle up and hold on tight as
[00:01:08] I beam your ears all the way to Nashville in the US where Scott is waiting to join us today.
[00:01:16] So a massive warm welcome to the show Scott, for everyone listening, used to have one
[00:01:21] listening a little about who you are and what you do.
[00:01:24] So yeah, so my name is Scott Tillman. I work as part of the R&D team at Logility.
[00:01:30] Over my 12 years at Logility I have served in various roles from SVP at a subsidiary
[00:01:36] Demand Solutions to my current role as SVP of Innovation and Process Improvement. My
[00:01:42] current role as part of the R&D leadership team is setting direction for the strategic
[00:01:47] initiatives we plan on delivering, keeping both a tactical and strategic horizon in mind.
[00:01:54] Well it's a pleasure to have you on the podcast and before you came on I was doing
[00:01:58] a little research on you and one of the things that quickly stood out is you've got
[00:02:01] this diverse background in supply chain operations and ERP implementations and so
[00:02:07] much more but I always like to find out a little bit about the origin story of my guess.
[00:02:11] So can you share how that journey led you to your current role of SVP of Innovation at Logility?
[00:02:18] Yeah I think I have a fairly unique type of role in that I started out back in the Y2K
[00:02:27] implementation boom, if you will, of ERP systems implementing Oracle
[00:02:32] and supply chain and then I transitioned over to a software company, Cerner, who ironically
[00:02:38] was acquired by Oracle later in their life or just recently within the last couple of years,
[00:02:44] but I started working at their beta client which was a hospital local in Kansas City and
[00:02:50] from there I was really interesting in that I started to figure out that being a
[00:02:55] third-party implementer was much different than working for the software company itself.
[00:03:00] Their expectations were different as far as you know I was focused on supply chain but
[00:03:05] they had a whole suite of products for surgery and pharmacy that interacted with supply chain
[00:03:11] solutions that I had no experience with and so there was an expectation that as you working
[00:03:17] for the software company would know the whole platform of the software and so from there
[00:03:22] I really got interested in how the sausage was made if you will and started to explore
[00:03:28] opportunities within the software realm and from there I just took an interest in product
[00:03:33] management, how software was delivered, how software was designed and really have served
[00:03:38] in those various roles across multiple supply chain software companies for the rest of my career.
[00:03:45] Well I would say that over the last few years I think much of the world took the supply chain
[00:03:50] for granted but with what happened with the pandemic and global uncertainty there's
[00:03:55] nearly a whole episode of discussions around that but I think now people realize how fragile
[00:04:00] it can be but on a more positive note Legility has been recognized for its digital supply chain
[00:04:06] platform so can you tell me a little bit more about this platform what sets it apart in the
[00:04:11] industry and also how it aligns with the current supply chain demands and our evolving
[00:04:16] expectations? Yeah it's interesting I used to say I worked in supply chain and people
[00:04:21] didn't necessarily know what that meant but I do think the pandemic has definitely brought
[00:04:26] it to the forefront of people's mind and experience and there's a better understanding
[00:04:31] of what I do now than what there has been in the past and then you know as far as the
[00:04:36] digital supply chain platform that Legility provides it really focuses on a unique
[00:04:41] combination of depth and breadth of its solutions across supply chain planning. It can
[00:04:47] meet companies where they are in their transformation, it can grow with them as
[00:04:51] they mature, it's designed to automate routine tasks and then surface critical information that
[00:04:58] allows them to be proactive in their decision making so it leverages best practices,
[00:05:03] it has deep market expertise and it brings those things together in a platform that
[00:05:09] allows for the interaction in the interoperability of different supply
[00:05:14] chain solutions whether it be demand, supply, inventory, manufacturing optimization that allows
[00:05:20] our clients to really gain quick wins from where they're focusing but then expand into the
[00:05:26] platform and leverage that and mature along with them so they're not looking for a
[00:05:31] different technology solution 10 years from now they have the solution that's going to grow
[00:05:36] with them and really be part of their supply chain transformation journey. And it has been
[00:05:42] quite a ride over the last few years from as we said the pandemic to people working from
[00:05:47] home at scale, people recognizing the value in the supply chain and understanding
[00:05:51] a little more about how it works and more recently of course we've got the
[00:05:55] introduction of generative AI into your services so how is Legility enhancing
[00:06:01] decision making processes for supply chain managers using this technology because I think
[00:06:06] there's a lot of hype about it at the minute but I'd love to focus on the real
[00:06:09] world problems that it helps to solve and you seem to be doing just that.
[00:06:13] Yeah so I think from a gen AI perspective our major focus has been on the use cases
[00:06:18] and answering those specific use cases that are going to provide value to our clients and so
[00:06:24] part of looking at that landscape is looking at what specific use cases will help particular
[00:06:32] clients drive that value and we're focused on really driving insights and so in democratizing
[00:06:37] planning in a way that allows multiple people to quickly gain visibility to either patterns
[00:06:45] within the data particular things that they're trying to put together for reporting for
[00:06:50] analytics and be able to get that information quickly at their fingertips in a way that hasn't
[00:06:56] been available to them in the past it was more of a reporting function and the ability to
[00:07:02] utilize gen AI to gain those insights and then be able to quickly put together data based on
[00:07:10] your supply chief supply chain officer asking you what's the latest demand patterns for a
[00:07:14] particular product set or product family and being able to gain those insights without having
[00:07:19] to do a ton of work or additional work to get to that information is really where I see
[00:07:25] some of the power of what the first phase of our gen AI solution is going to provide and
[00:07:30] then as it matures and grows it will start to even provide even deeper insights into that data
[00:07:36] that would be more difficult for supply chain planners to get their head around.
[00:07:41] And just to bring that to life a little I appreciate you probably can't share any names
[00:07:44] but are you able to provide maybe a specific example of how AI driven solutions at Legility
[00:07:50] have helped transform a client's supply chain operations is there anything you can think of
[00:07:54] there that would just bring this to life? Yeah so there's a couple things I think we
[00:07:59] know I can't name any client names but like you said there are a couple areas where clients have
[00:08:03] focused on and been able to provide some level of value and I think one of the areas that has
[00:08:09] really helped them that is there's a couple areas one is algorithm selection the ability to
[00:08:16] take multiple algorithms and be able to apply them in order to improve your forecast accuracy
[00:08:21] and that really lends into when you improve your forecast accuracy your ability to drive
[00:08:26] that value through the supply chain from a inventory perspective and they have been
[00:08:32] able to reduce their inventory by almost 20% which has had an upwards capital value of
[00:08:38] almost five thousand dollars or five million dollars freeing up free cash flows so there's
[00:08:44] there's the ability to utilize certain aspects of our solution that can provide
[00:08:52] real tangible value to the bottom line from freeing up cash flow.
[00:08:57] And the integration of AI in supply chain management is often seen as a
[00:09:02] as in transformative for obvious reasons but from your perspective here what would you say are the
[00:09:07] most significant impacts of AI are on the traditional supply chain practices because
[00:09:14] I think it's an area that a lot of people don't automatically associate with technology.
[00:09:19] Yeah I think there's a couple areas one is latency you know it really reduces the time
[00:09:24] to find insights it's the key is that AI is not going to create a ton of what I would consider
[00:09:29] new insights but it's going to uncover insights that have been there all the time that you
[00:09:35] haven't necessarily been able to find based on pattern recognition and what the AI is looking
[00:09:40] for to help provide and maybe find those subtle patterns that you that supply chain
[00:09:46] planners haven't been able to find in the past and so what might be something that's not easily
[00:09:52] detected to the naked eye you're going to be able to find those insights and it's going to reduce
[00:09:56] the latency and the ability to action those insights in a very more tangible quicker way
[00:10:05] than what has been done in the past. And then the other part is really I'm a huge sports guy
[00:10:10] and I think there's the there's the whole analogy that it will I'd like to say it helps
[00:10:14] you take more shots you know if you in in football and again this is American football
[00:10:20] increasing the number of possessions and the value of those possessions is really key to winning
[00:10:24] so you know the way to utilize UI is it's going to allow companies that utilize it effectively
[00:10:31] to basically take more shots and not only take more shots but the effectiveness of those more
[00:10:36] shot effectiveness of those shots is going to increase and so it really is rare that it
[00:10:43] technology like this comes along that can be this transformational in a way that looks at data
[00:10:50] and also increases your insights to be able to drive value within new organization.
[00:10:56] Oh so you're a big sports guy is it just American football or is it
[00:11:00] lots of sports there that you're into there? I'm interested in all sorts of sports I run
[00:11:06] the gamut football, baseball, soccer or English football, golf you name it I probably know a
[00:11:13] little bit about it. Who are your teams who can we give a shout out to?
[00:11:18] Well I'm a huge American football fan I've been a Kansas City Chiefs season ticket holder
[00:11:24] for 26 years and so I have been along the magical ride of Patrick Mahomes, Travis Kelsey
[00:11:32] and Taylor Swift over the last few years so yeah it's been a great time to be a Kansas City
[00:11:39] Chiefs fan. It really has and I love how you've been on that whole journey because it hasn't
[00:11:43] always been a bed of roses isn't it? No I started my Chiefs fandom going to nine
[00:11:52] playoff games over 20 years and my record was zero and nine so yeah so the last three
[00:11:58] years have been pretty special as far as the ride that it's been on.
[00:12:01] I love that and back to your work for a moment I'm curious how do you balance innovation with
[00:12:07] the practical needs of your diverse clientele in industries and everything from high tech,
[00:12:12] retail and healthcare it feels like there's got to be quite a balance there but how do
[00:12:16] you do that? Yeah it's interesting that you know people ask kind of what the what the
[00:12:21] uniqueness are and there is uniqueness to industries but what I always find interesting
[00:12:25] in supply chain is that supply chain is about finding patterns right and if you can find those
[00:12:31] individual patterns you can leverage those across multiple industries and so if you focus
[00:12:37] on how we identify the demand patterns with whether it be low and lumpy forecastable items or
[00:12:45] high volume forecastable items and then utilize that type of mindset you start to
[00:12:51] find uniquenesses in industries but the patterns tend to be very common across industries so it
[00:12:57] allows you to look at pattern recognition in a way that I think allows us to develop
[00:13:03] supply chain solutions that can be very unique to an industry but aren't as unique
[00:13:08] as people think they are because the patterns are common across various industries.
[00:13:13] And the pace of technological change is moving at such a speed at the moment if we
[00:13:18] were to look ahead for a few minutes what emerging trends or technologies do you believe will
[00:13:24] further shape the future of supply chain management is there anything that you're
[00:13:27] monitoring closely or anything that excites you there? Well I mean I think everything
[00:13:32] is going to end up being powered by some level of AI but I think it's where the AI
[00:13:37] is going to be used which is going to be interesting. I think there's going to be a lot
[00:13:41] of focus on prescriptive guidance and the ability to provide more foresight if you will not only
[00:13:51] the data and what it's telling you but be prescriptive in what it's telling you and telling
[00:13:55] you what you should do based on what the data is telling you so it is going to give you more
[00:14:00] insights into how you should react to certain data and not just show the data to individual
[00:14:08] supply chain planners. So I think there's going to be a lot more prescriptive type
[00:14:13] aspects of supply chain moving forward and then there's the whole intelligent automation.
[00:14:19] We talk about working internally whether you're working on the business or in the business
[00:14:24] and I do think that the automation that's going to be out there is going to automate
[00:14:29] routine tasks that are going to allow supply chain professionals to work more on the business
[00:14:36] and not in the work more in the business or work more I messed that up but work more on
[00:14:42] the business than in the business. So we are at a time now where AI everywhere seems to be being
[00:14:50] discussed and last year many businesses dismissed it others banned it and banned their employees
[00:14:55] from using it in the workplace others were anxious about what to do with the company
[00:15:00] data being learned on being used to train machine learning algorithms we've been able
[00:15:05] to overcome those obstacles and I think more and more businesses are adopting this and don't
[00:15:10] want to be left behind but if we do have anyone listening looking to adopt similar AI driven
[00:15:15] tools what would you say are the key factors that they should be considering to ensure that
[00:15:20] they maximize the benefits of such technology and also doing it safely of course.
[00:15:26] Yeah I think it's going to be interesting to see how the AI plays out with different
[00:15:31] point solutions as opposed to corporate type AI solutions. I do think companies need to think
[00:15:37] about AI in a diversified manner and look at specific business cases or use cases that are
[00:15:46] what needs to drive value and where you can get those use cases from and so there's going
[00:15:51] to be I believe a portfolio of solutions that are going to be provided to CIOs and companies
[00:15:57] that are going to look at what opportunities do I have to utilize AI where can I contain you
[00:16:03] AI to be focused on value and specific use cases and from legilities perspective we are
[00:16:10] very focused on supply chain use cases in being able to take that data and present it
[00:16:16] up and also play in the larger ecosystem of the company and what other AI initiatives they have and
[00:16:23] so there's going to be a balance of AI solutions that are out there and I would tell companies
[00:16:28] looking to adopt those types of solutions to think about it as a portfolio approach
[00:16:33] in which you're diversifying how you're thinking about AI where your AI is being driven
[00:16:39] where AI is being incorporated into your solutions and look for those specific use cases that can
[00:16:45] drive value based on what you're trying to accomplish. And you're working with everyone
[00:16:51] from retail to healthcare as I said a few moments ago and I would imagine that some industries that
[00:16:57] you work with are more regulated than others is that proving to be a headache at all
[00:17:02] the whole regulation question? Not a lot because usually AI our AI generated data tends to be
[00:17:09] very focused on demand and pattern recognition not necessarily on a lot of personal data. Now
[00:17:15] that doesn't mean as AI expands and we look for additional insights that those
[00:17:20] that data might become available for us to incorporate and we're going to have to
[00:17:24] think about what that looks like in as far as what type of data we're pulling in and our
[00:17:29] ability to utilize that data to drive a forecast but right now our data set is
[00:17:36] contained to what our supply chain data portfolio is and there is not a ton of what I would consider
[00:17:44] you know personal PCIP type data that is driving that at this point. Well it sounds
[00:17:49] like it's an incredibly exciting road ahead I'd love to stay in touch with you get you back on
[00:17:53] maybe next year and see how things are continuing to evolve so thank you so much for
[00:17:58] taking the time to come on here and share your insights but before I let you go I
[00:18:01] want to ask you to leave one final gift to everybody listening I always ask my guests to leave
[00:18:07] everyone with either a song that we can add to our Spotify playlist guilty pleasures are allowed
[00:18:12] and also a book at Amazon wishlives Amazon wishlist I don't mind which but what would
[00:18:18] you like to leave everyone listening and why? Yeah so I think I have some recent bias here
[00:18:22] but I've always been interested in organizational behavior as part of driving change early in my
[00:18:28] career one of the doctors that we were talking with at Cerner was mentioned the fact that there's
[00:18:35] never a lack of good ideas within a software company it is the execution of those ideas
[00:18:41] that really is what drives value it's not the ideas themselves because you know I hate to say
[00:18:46] ideas are cheap but everybody has some level of ideas it's how you execute against those ideas
[00:18:52] and part of being able to execute those ideas is to be able to influence people and so one
[00:18:58] of the books that I have some recency bias with that we have been doing that we just completed a
[00:19:03] book club for internally with the leadership team is called the influential mind it focuses
[00:19:08] on how to influence others and how to leverage that influence and driving change and it's just
[00:19:15] one of those things where I think if as we get more into technology and how technology is
[00:19:21] being adopted the ability to to influence others and drive that change and adoption is going to
[00:19:27] be become even more critical skill set especially with the adoption of AI as we automate different
[00:19:33] types of you know tasks that have been required a lot of legwork in the past and we start asking
[00:19:41] people to work on the business rather than in the business the ability to manage and
[00:19:46] influence people is going to be critical and I really think that is a book that has inspired
[00:19:51] me to to think about how we drive change not only within legibility but within our clients
[00:19:56] so love that well I will get that added straight to our Amazon wishlist I've got to say as a Kansas
[00:20:02] city chiefs fan living in Nashville where there's the Taylor Swift education center
[00:20:07] I am a little bit disappointed you didn't choose a Taylor Swift song for the playlist but
[00:20:15] anyone listening just wants to find out more information about legility the work you're doing
[00:20:20] contact you or your team where would you like to point everyone? Yeah so we you know you can
[00:20:24] definitely visit our website at legility.com I'm available on LinkedIn you can reach out to me
[00:20:31] I try to post and write blogs out there on LinkedIn and yeah there's a various sales
[00:20:37] organization so if you have any interest reach out to your legility sales rep and let us know
[00:20:42] we are always here to help you think about what your supply chain transformation journey
[00:20:46] might look like. Well every day I always try and get people thinking differently about
[00:20:50] technology how it impacts worlds that they probably don't hear much about or understand
[00:20:55] fully and for me I've just loved hearing more about how the the legility digital supply chain
[00:21:01] platform is leveraging artificial intelligence as well as advanced analytics to automate planning
[00:21:07] accelerate cycle times increase precision there's so much great work you're doing here so I do
[00:21:11] urge people to check you out but more than anything just thanks for joining me today.
[00:21:16] Thanks Neil I appreciate it. So as we wrap up today's enlightening conversation with Scott
[00:21:20] I think it's clear that the future of supply chain management is poised for dramatic changes
[00:21:27] and yes it's going to be shaped by AI and intelligent automation the potential is to not
[00:21:34] only predict but also prescribe actions within the supply chain. I think that's what's on the
[00:21:40] horizon and ultimately promises a even greater efficiency and decision making prowess and in an
[00:21:46] age of data driven decision making that's got to be a good thing right? But what do you think
[00:21:52] the future holds for AI in the supply chain management industry and how can businesses
[00:21:58] better prepare to integrate these advancements? I'd love for you to share your thoughts with
[00:22:03] me please join the conversation techblogwriter at outlook.com, Twitter, LinkedIn, Instagram at
[00:22:08] Neil C Hughes send me a quick DM if you want to join me on the podcast we can do that if
[00:22:12] you want to just send a quick question I'm the easiest guy in the world to get hold of
[00:22:16] and also tomorrow we've got a completely different topic that we'll explore together so
[00:22:21] hopefully you'll join me again but more than anything of course thank you for
[00:22:24] listening as always and until next time don't be a stranger

