Digital Asset Management for CPG success

Good morning everyone, and welcome to today's webinar on digital asset management for CPG success: unifying product data and content, hosted by My Digital Shelf and presented today by Colgate-Palmolive, Mondelēz International and WoodWing.

My name is Sarah Kingham, and I'll be hosting the webinar with you for the next 45 minutes. I'd like to remind everyone that you can send in your questions and comments at any time using the webinar chat room feature. There will be time at the end to answer most of them. There is also an option to send in your questions anonymously, so not to worry if you feel a bit shy.

Also, just a reminder that I will be sending the recording and presentations to you this time tomorrow. Keep an eye out for that email. You can listen back to it, and you can share it with any colleagues of yours or industry associates that weren't able to join us live.

It's my pleasure now to introduce our panelists for today. First up, we have Abhishek Ahluwalia, who's the Global E-commerce Director at Mondelēz International. How are you doing today, Abhishek?

Good, Sarah. Thank you very much for inviting me. It's a pleasure to be here.

Yes, we're looking forward to hearing from you.

We also have Aliza Levinsky, who's the Senior Director of Digital Shelf and PDP Excellence at Colgate-Palmolive. How are you doing today, Aliza?

I'm doing great. Thank you for having me. I'm excited about this conversation, and I think it's going to bring a lot of great insights for everybody. Thank you, everybody, for joining.

Fantastic. And we have Dan Pugliese, who's the Vice President of Sales, North America, at WoodWing. How are you doing, Dan?

I'm doing great, thank you. Excited about today.

Yes, we're looking forward to it, too.

Last but not least, we have Dayle Raivetz, who's the Business Analyst at WoodWing as well. How are you doing today?

I'm doing well, thank you. Thanks for having me. I'm also looking forward to today's conversation.

Fantastic. We've got some great insights, so looking forward to it, too.

I know we have a presentation for today as well, so we've got that up on our screen. I believe Dan will be introducing this. Over to you, Dan.

Great. Thank you. Sarah, are you going to be sharing your screen, it looks like?

Yes, I'm sharing the screen.

Okay, perfect. All right, just come out of here. Sorry.

All right. Thank you everyone for joining today. Good afternoon or good morning, depending on where you're dialing in from. Very excited to give you an overview of what we're looking to speak about today with the WoodWing solution, with the opportunity to throw some questions out there.

I'm going to start off with a quick introduction to WoodWing, who we are and what we do. We are a global organization. We've been around since approximately 2000, with a little over 250 employees today. We have over 5,000 customers, and we're working in 60 different countries. At any given time, we have tens of thousands of people using our software, which is our digital asset management solution, also known as a DAM. We'll talk a little bit about that. If you want to go to the next slide.

The biggest challenges we hear in the CPG world from people who are not using a DAM are usually that their assets are all over the place. They're either in Google Drive or on their server. It's very challenging to find them.

The other one is that they're using a PIM as a DAM, and they'll tell me straight up, “We know this PIM is not used for a DAM. It works, but it's not great, and we know we need to get to the next level.”

The other piece is that they just don't know what a DAM is. So, if you go to the next slide, I just want to talk a little bit about what a DAM is at a very high level. You will see a little bit of it today when Dayle shows it in the demo environment, but so everybody understands what a DAM does, think of Google Drive, but very enhanced.

It is where you store all your digital assets: images, photos, videos, Word documents, PDFs, whatever they might be. But it has great search capabilities, either by using keyword search or by using a folder structure.

All these images have metadata behind them, so those tags behind them help you find them much more easily.

Designers also love to use the folder structure. You can work from a brand, or maybe you're working with a year, and you can really narrow that search down by saying, “I just want to look at videos inside the DAM.”

As you're looking for these and working with those images, or whatever they may be, you can make different versions of them quickly and easily. You don't necessarily have to download them. You would check them out, and then maybe crop it or make it black and white. That creates different versions on the side, so you can see, “This is the version I want to use for this specific campaign.”

The other thing is sharing with your freelancers or agencies. It has the ability to share a collection of assets using a shared link. They don't have to be subscribers to your DAM. They can click on the link and then upload or download assets. They can make approvals and comments, and then it's shared back to you. You can then decide whether you want to upload them.

It's an easy way of collaborating, and everybody has rights and permissions inside the DAM.

The nice thing about it is that it does have an InDesign plug-in, so again, you don't have to download those assets. You just open it up, and that will show up in the InDesign format.

That's a very high-level overview of what a DAM is. If you want to go to the next slide.

The other piece is having an open API. Most companies have that open API, and what you want is to build an integration so that each system can talk to each other.

The most common ones are your CMS systems, AI tools and project management systems like A ripe or Monday. Those are the most common ones.

What we say is: get the best solution that's going to solve those problems. Get the best project management solution. Get the best AI tool that's going to work for what you're looking to solve. Get the best DAM that's out there, and then let them collaborate.

Maybe you start off with your project management system, go to your DAM, get those assets, run it through the AI, and then push it back into the project management system to say, “Okay, everything has been done now,” and really manage that entire workflow process.

If you want to go to the next slide, one of the biggest things we established over the last few months is a connection where we built an integration with the Relayter tool. What this does is help you build and create a workflow for brochures.

For instance, it integrates with your DAM, your CMS, your CRM, your promotional information, PIM information, or whatever information you need to gather. Maybe it's currency or geographic location. You're able to create a print or digital workflow process to create those brochures.

It's much faster because it's automating the entire process, getting rid of those manual processes of going into the templates and things like that. It's also much easier if you're pushing it out for geographic locations or different states, because prices might be different or the currency might be different.

It really helps streamline that workflow and get rid of those manual processes to make things more efficient for your teams. Next slide, please.

I think another important factor when you're looking at a DAM is making sure that it's customizable, because every company works differently and everybody has a different workflow system and process.

As you're looking at a DAM, make sure that it can be customized specifically to your workflow. How does that happen? Do they have a team that can help with asking those questions, or a partner to ask these questions? How do you work today? How would you like to work? They can make recommendations and then build and customize the workflow and the DAM solution for your specific organization and team.

We find that becomes much more valuable than just getting a DAM and putting it out there without having that tight process and workflow.

Great. Next slide.

Now I will hand it off to my colleague, Dayle.

Hi, thanks Dan. To play off more of what Dan was mentioning just now, your challenge with CPG and DAM isn't really just storing your content. DAM is way more than that.

It's really ensuring your rights are approved, governed and ready for your campaigns when you need to launch them. Some of the issues that Dan mentioned are delays or things that come from not using the current assets, confirming your rights and making sure everything is consistent.

Today I wanted to look at DAM and show how DAM can help with that kind of friction, and also really support AI governance, which is going to help strengthen your content and all of your assets for using AI tools that are out there now. You can improve your speed and your velocity toward market.

On this slide, I just have a couple of points. Sorry, that was the last slide. Thank you, Sarah.

Before your content can really move fast, your teams have to work on accuracy, approval rights and everything of that nature, and be campaign-ready. It really comes down to having all your correct information associated, which having a DAM allows you to manage.

Your SKUs, what campaign something belongs to, the ability to link certain rights and contracts to specific imagery or product information, and channel-ready assets. It's not just where the assets live. It's more about how to have your teams feel confident in the content they're using and know that it's ready to use, so they can act faster.

The next slide. Thank you.

This is about the AI governance aspect. There is a lot of different AI out there now. I feel like we've all seen a ton of it. There's AI tagging and all these different things we can do now which can help with digital shelf.

But once we get back down to the permissions, rights and control that we're able to enable in your workflows and in a DAM, you can then control more of what you're allowing AI to assist you with.

There are different statuses that can help prevent unapproved assets from being reused, putting a lot of safety measures and guardrails in place. I still believe, and what we've seen throughout different industries and CPG, is that human review at the end is always important.

It really just comes down to as much information as that human contact is attaching to those images, to then allow AI to take it to the next step and accelerate the process through things like a brochure builder, or things of that nature, like Dan was mentioning.

AI can definitely help you move faster. You just want to make sure you're scaling the right content at that speed.

Okay.

This is where we talk a little bit more about what you can do with other software, like a brochure builder that connects into DAM. Your PIM connects into your DAM. All different systems, as Dan mentioned, can interconnect together to really give yourself a tech stack that's going to enable your teams to work not just in silos.

I think there was one of the presentations at Connected Commerce, which had a lot of great conversations. Andy Pazella from Major's Way was talking about the different styles of teams and different areas that he's worked in and seeing what works best.

I feel like that's where DAM comes into play, because it starts talking about the “how.” There's the “why,” and I think we all have seen the “why” and had really good, strong conversations about it. But really, how do you then put that in place? How do you start governing all of this to then connect to the rest of your ecosystem for your e-commerce, your digital shelf, all of that stuff?

Through programs such as a brochure builder, you're able to structure your content in a way and associate it to your DAM to make sure there are checks and balances, whether it's saying something is AI-approved to use or if an asset is not eligible to be used to train AI. Those are the types of guardrails that you can then start putting in place.

If it's all right, Sarah, I'd like to share my screen to briefly show visually what I'm speaking to here.

Yes, absolutely. I'll just make you the presenter. Thank you.

There we go. All right.

Here I just wanted to briefly show a visual because I feel like we all learn in different ways, and visually sometimes it makes a difference to add to the conversation.

These are just some generic images, very basic, so please don't look at them too closely. They're very Illustrator-version.

If you're in a DAM, and I'm not sure what different levels of DAMs people have seen, as Dan was saying, at the top for this particular DAM you can see the folder access and drill down there. A lot of people are used to organizing in that manner.

But once we start getting into what's really going to help you with your AI governance, it's the metadata and finding things faster and filtering against them. Not only if you were to go based on your folders, but if you're just searching within your entire DAM and you need to know the status of something, is that final to be approved?

You can also create permissions to say that only certain programs that pull information from your DAM can receive information at a certain status, or for a certain campaign, or only certain individuals have that access.

You've got a lot of granular boundaries that you can put in place, which then helps accelerate your speed because you're able to find things faster and have fewer errors passed along. When you're creating your content, if you're not governing that at the same time, you're just passing errors down the line, which is not going to help speed you up and will obviously cause issues.

Once we start looking closer at some of the metadata, you can customize this as well to the terminology used in your particular team, or have it be more industry-based.

Here I've put some custom metadata fields just to show where you can allocate what brand it's part of, what market, and all this different, powerful information. Once you've got this stored in your DAM, associated to your content, and you're connecting to your other systems, you're really creating that full-circle picture and are able to enhance the addition of AI to your workflows.

There are also things like AI tagging. You're able to have different models, depending on what connects to your DAM, to tag that for you and then say whether or not you approve it. That can help, because manual tagging can take a lot of time as well.

But we go back to the human aspect of needing to sit there and verify before sending it on into builder programs or management issues after that.

That's really it in a nutshell. I wanted to create a higher-level view of this particular instance for DAM and how it can really help you here. Are there any questions, or Sarah, I may pass it back to you.

Thank you so much. That was really insightful. I'm sure it's pre-answered a few questions that the audience may have.

I'd love to open up the floor now to the audience. Anyone that has any questions, feel free. But I have a couple of questions that I'd love to direct to all of you in the meantime as well.

Aliza, I'd love to start with you, mostly because it's a very unique job title that you have as Senior Director of Digital Shelf and PDP Excellence. In particular, it's not a job title that you hear very often, so I'm sure everyone is quite keen to learn a bit more about it.

Could you share with us what your role is? I'm also curious to know how your team approaches digital shelf and PDP excellence across the main retail channels that you partner with.

Yeah, thanks Sarah. I'm very glad to be here. As Sarah mentioned, I'm the Senior Director of Digital Shelf and PDP Excellence at Colgate-Palmolive. I sit in the global e-commerce organization, and my role is pretty much the intersection of digital shelf, data analytics and AI.

Our goal is to take all the lines and make a better shopping experience for the consumer, with the end goal of driving growth.

When I think about digital shelf myself, I think about it as a decision-making agent, where every piece of information becomes a shopping intent, a purchase decision. Every piece of product information, every review, every attribute signal, every availability signal, every competitor information, or everything they know under PDP is an opportunity for the consumer to better understand the products, to compare across what's available and then finally make the right choice for them.

When we think about digital shelf, it really touches every single step of the consumer journey. We have it in the discovery phase, in the consideration phase and in the purchase decision. As it goes through all of those phases, our goal is to allow consumers to easily find our product, understand it and then make the right choice for them at the right moment that they're trying to buy the product.

I would say, as digital commerce becomes more complex behind the scenes — and we are all suffering from that — the experience for the consumer actually has to become simpler. In my opinion and in my experience, the simplest experiences are the ones that remove friction.

Really, our goal and our job is how we make that seamless and how we build the experience to allow consumers to find the product more easily and make the right choice.

Fantastic. That's really interesting to hear.

I'm sure now everyone will be interested, Abhishek, to hear from you, because you're also in a global role. Your job title is E-commerce Director, but of course I'm assuming a big part of that is digital shelf. Does a lot of that resonate with you? Are there any differences in your role compared to Aliza's, for example?

Yeah. I think digital shelf excellence is a key part of how we show up when consumers are looking at our categories and our brands on the retailer website. It's very critical.

For us, the challenge is not just creating content. It's all about how we scale, localize, approve and distribute content across hundreds of retailers without losing brand consistency. Absolutely, I completely agree with what Aliza mentioned, and that definitely resonates with us.

That's great to hear.

Dayle, you mentioned some great things about the integration of DAM with your PIM. I'm sure those are new learnings for a lot of the attendees listening in today as well. What would you say are the most common mistakes that organizations make when they're integrating DAM with PIM, or even other systems? You also mentioned metadata alignment, so I'm curious to know how important metadata alignment between the DAM and the PIM is for success.

That's exactly where I'd go: the metadata. The more you're strengthening all of your content with that metadata, the more consistency you can have and the faster you can get to market.

It really allows your teams to know where everything is at, whether it comes down to status, whether something is not to be used anymore, or whether it's regional. It helps all of your systems align.

Whether you're using one system or multiple systems, you really want that continuity across your taxonomy to keep that consistency and help you with speed.

Fantastic. We're getting a few questions through, so feel free to continue sending in your questions, everyone listening in.

One for you, Abhishek: how are you balancing speed — in other words, getting content out fast — with control and consistency? And how are your creative and e-commerce teams collaborating effectively inside the DAM to achieve this?

Yeah. It's about having the right ways of working between the digital commerce teams and our brand teams. Our brand teams essentially own the asset creation. Think of hero images, lifestyle photography, videos, brand campaigns and packaging renders.

Then our digital commerce teams, and within our digital commerce teams our content team, really look at the retailer-specific requirements, making sure that we are building our PDP content with those assets, and optimizing across all retailers and marketplaces.

Then when we get feedback, because with some retailers we can get data in terms of whether our PDP is driving conversion or click-through rate, that really helps.

For us, tools like PIM and DAM obviously play a very critical role. If they are all workflow-optimized and rights-managed, that really helps. Different teams essentially want to get the product out, but the brand manager of a particular brand would need to sign off.

Now that brand manager doesn't need to sign off every day, if you think about hundreds of PDPs across a few dozen retailers. Once your key assets and key messaging are all signed off, the resizing and adaptation is essentially owned by the digital commerce teams. That's how we operate.

Okay, fantastic. That's really interesting to hear.

Another follow-up question, Abhishek, from what you were just talking about: what matters most when turning governed DAM content into retail-ready execution at scale? Clean product data, workflow governance, or local market activation? What's the priority?

For us, the important part is governance, and governance needs to be embedded in the workflows. Things like automated workflow, version control and having the right metadata and tagging it properly are extremely important.

Now, even with agents, it's even more important than it was earlier, because now you need the right product metadata. You also potentially need to syndicate content into AI engines and not just to your retail partners. If your data is not structured well, it will not be used well by these answer engines.

Interesting. Anything that you would add to that, Aliza, or what would your priorities be?

Yeah, I would say that governance is key. I would also say that having structured data and having versioning of the data is very important.

Something that we have noticed is that a lot of times we have a lot of information, but it's very hard to find, and we don't have that accessibility for the team. I think accessibility and being able to find it are key to the success of all of these workflows as well.

Yeah, interesting. How do you keep your product content consistent across print and digital channels?

I think the challenge has fundamentally changed. Historically, we wanted to be consistent, and consistent meant that we wanted the same content across all the different channels.

Today the challenge is slightly different, because what we want to do is have the right content for the right person at the right time. That's very different from the way we used to think in the past. Consumers also shop very differently and they have very different intents. Some might be looking to compare products for a new product, and somebody may just want to buy something really quickly.

As we think about personalization, retail media and AI evolving, we might have to have different information to show to the same person or different personas in order to make the experience resonate.

I think the challenge, and this is where I feel a lot of organizations get stuck, is that we don't need multiple sources of truth. What we need is one source of truth that can be expressed in many different relevant ways that resonate with different consumers and different shopper intents.

The goal is not to have everything identical. It's really to be connected and to be able to use the data. Different shoppers are going to want different answers, different questions and different information.

The biggest thing is that as long as it's guided by the product truth and everything that we consider to be our product information, then the answer really doesn't matter, because we're appealing to what they want to understand.

Very interesting.

I see Dayle, you've been nodding along to a lot of that. I'd love to know if there is anything to add or if that resonates with you.

It absolutely resonates. I feel like that's something that starts off where it's not just more about storing everything and consolidating things, but having your one centralized location and all the information around that.

If you really start out from that standpoint, it allows you to go even further because you've given yourself that core foundation. I think nowadays, having to keep up with all the SEO, AEO, GEO, all the acronyms, and everything you have to keep up with these days for AI to read and disseminate to the right people at the right time, the more information you can have attached to your assets, the better off you'll be.

Yeah. Since we were talking about challenges with the CPG clients that you work with, what have you seen as the biggest implementation challenge when they're trying to connect their DAM with product data and content automations into workflows?

I think it depends, obviously, on a case-by-case basis. But in general, it's making sure that everything is aligned across the line with your metadata and making sure that all of your taxonomy is lined up. That then enables everyone to find everything more easily and faster.

Like Aliza was saying, the ability to search and find something based on whether it's AI tagging that has helped you with it, or an individual's tagging, or brand information — getting all of that aligned can really take some time to sort through, but it makes a big difference in the end, no matter where that information is going.

Yeah. Since you're talking about AI tagging, of course, we can't have a webinar nowadays without talking about AI.

When you mentioned AI, where is AI actually delivering value in the metadata? And what's one governance rule or practice that every organization should have in place before they start scaling with AI?

I think it's having internal governance. That's something we're seeing in a lot of different customers, and when I have different conversations about it, sometimes people are very timid with AI, whereas other times people just want to get on it before being left behind.

It's really about making the right decision at the right time for what your goal is, and not just AI because AI. I think things like AI tagging are still coming up to speed with the ability to recognize everything. It's getting better by the moment.

But we still need that human touch to verify and edit some of that tagging. I think AI tagging really does help when you're dealing with a massive amount of pack shots or that kind of information. It can speed up that portion, but a human still needs to go in and verify everything from there. It can really accelerate the timeline at different points in your production process.

Yeah. I think that probably resonates with everybody in the audience: how AI can be a time and cost saver. That's a great point.

I'm keen to hear from Abhishek or Aliza. How are you implementing AI into your content strategies across e-commerce? What are maybe some of the lessons learned, or some of the tips that you could share with the audience? Maybe we can start with you.

Sure. I think the way we're looking at AI is obviously retailer AI assistants and how consumers are interacting with them, and what kind of product data is coming in as consumers prompt those engines.

I think it's about making sure your PDP copy reflects that in terms of Q&A, and being a bit more thoughtful when you're writing PDP copy. From an SEO point of view, we've done a great job looking at keywords, the volume of those keywords and making sure those keywords are there in PDP.

But now we need to be more thoughtful, because if you're already providing structured questions and answers in your PDP, think of below the fold, you're making it easier for retailer agents to pick up your brand as consumers look at the category.

Then from external agents like ChatGPT and Perplexity, I think it's important that you have a holistic strategy. To generate one answer, AI engines look at 30-plus citations, 30-plus sources. So you need to be there on Reddit, on social media, Instagram or YouTube, and on your own brand.com.

All those touchpoints need to have similar messaging. You need to make sure your content is now on those AI surfaces, and you need to be deliberate about it.

That means building the capability to create long-form content and listicles. Most CPG companies, because content marketing in the true sense of building listicles and blogs is not something we've done in the recent past, have really been amplifying our brands on social media, retail media networks, connected TVs and things like that, because our consumers are consuming content from our brands in these touchpoints.

But now, when you're thinking about agents as a cohort, you want to market to an agent because historically we've marketed only to the shopper and the consumer. That is now changing.

You need to make sure your content is on surfaces where AI engines essentially crawl and collect the information.

Right. That's really insightful to hear. Anything to add to that, Aliza?

Yeah. If I think about the digital shelf, I think the first shelf was physical, the second digital, and then the third one is almost AI recommendation.

I think the biggest advice I can give is to set your foundation right. Do you have structured data? Is the data accessible? Is it connected? AI is only going to be as strong as the data we're able to collect behind it and surface to the different engines or AI capabilities.

One of the other things I think about is that technology will continue to change, but product growth and the foundation are not going to change. That's where getting it right is very important.

That's some really good tips there.

Aliza, actually, a follow-up question from that would be: when product data and content are sitting in separate systems, where do you typically see the most friction, and how does this impact speed to market or accuracy?

Yes. I do believe that the barriers and friction happen when they sit separately, but I also think that it gets enlarged when teams, or even the consumer, don't have access to complete product information.

In my opinion and based on my experience, delays rarely happen because of the lack of information. They happen because teams don't know where to get it. They don't know which version to trust or where it sits if it sits in multiple systems. Because of that, a simple change or update can take many systems, many people and many revisions before it actually hits the shelf. That's where we're seeing the delays.

As AI becomes more embedded into commerce, we have to think about, and I think Abhishek said it well, that it's not only going to be important to have content, but it's going to be very important to have structured data. This is going to be key.

AI can only be as good as the data that it can access, understand and trust. In the AI era, visibility won't rely only on the information, but on the information that it can access and connect across different sources. That's why consolidation is very important.

I like to think that it's not about control, but really about giving clarity. The organizations that are going to move the fastest are not the ones that are going to have the information available, but the ones that make that information easy to find, easy to access and easy to trust.

Very interesting to hear. Thank you for sharing that.

Going back to having a strong DAM in place, Dayle, again from your experience with the CPGs that you're working with, what role does DAM play in speeding up the actual time to market for new product launches, for example?

It goes back to what we've been talking about here with the strength behind your assets. If you have that foundation, that's really where you then have more accessibility and the ability to accelerate your timeline, because you've set up that foundation.

You've already put that core product metadata behind where you're stemming from. It really resonates thereafter because you have to keep up with so much these days in so many different areas and so many different touchpoints. I really feel like that's the core of what you need to make sure you have.

Yeah, that makes sense.

Abhishek, what are your thoughts on it? Have you seen cases where having a strong DAM makes a bigger impact than just improving your PIM? Have you seen compelling product experiences without a strong DAM, for example?

Yeah. PIM provides the facts, and DAM, the way I think about it, provides the experience. Both are needed to deliver content to our shoppers.

I don't think a weak PIM or a weak DAM would be acceptable in the equation. You need a strong PIM system and a strong DAM system. As I said, PIM drives discoverability and compliance, and DAM essentially drives engagement and conversion. So you need both.

Yeah, it makes sense. Aliza, anything to add to that?

Yeah. I would just add that they truly complement each other. With the change in the environment, they just become more important for the success of any company, because that's where we're going to host all the data that is needed to provide to the assistants, the consumer and the retailers. More than ever, they are very important to our tech stack.

Fantastic.

It's always important to talk a bit about capabilities as well. For you both, Abhishek and Aliza, and Dayle, I would love again to get your thoughts from the suppliers that you work with. Again, talking about speed and automation, and all the different ways in which brands can do that now, when you're trying to automate content delivery across retail channels, what's one of the capabilities that most teams underestimate?

Anyone is welcome to throw in their thoughts on that.

Yeah, I can start.

I think my advice is that we usually start with, “What is the solution we want to do? What is the technology we want to use?” But we actually have to start with, “What's the problem? What are we trying to solve?”

My experience is that we cannot automate a process that doesn't exist. Before we even discuss what platform we want to use, or what AI tool we want, or what technology, it's truly understanding the workflow, who's making the content, who's creating it, where the friction points are and where tasks are being duplicated.

Once we understand that piece, then we understand the friction points and the opportunities. That's when we can actually automate. At the end of the day, we cannot automate processes that don't exist. It's a combination of how we pair technology with the right process to really scale success.

I absolutely agree. Especially with AI being such a hot topic right now, people tend to jump and want to run to, “Let's do something with AI.” But there could be another way, depending on how your basic process is going in the first place.

There may just be automations that can do something in a much more manageable fashion. It really comes down to your purpose, your goal and making sure you have a strong sense of that before choosing what route to go.

Yeah, I think just to complement what Dayle and Aliza mentioned, the companies today that are winning in the world of e-commerce with respect to digital shelf are the ones who can create, approve, localize, adapt and distribute content at scale.

That's where having a very strong foundation, a partner who's doing PIM and DAM, and to Aliza's point, a very strong workflow, can create a meaningful difference.

Fantastic. I think that's a great closing remark actually, Abhishek.

We've had some really great insights and learnings. Thank you all for your thoughts. Thank you, Dayle, for your presentation. I hope everyone has enjoyed today's webinar.

We'd love to continue the conversation. If anyone has any questions, feel free to reach out to me. I can forward them on to everyone listening in today. I'm sure Abhishek, Aliza and Dayle are happy to be connected with on LinkedIn as well. We'd love to build a community and continue this conversation.

Thank you again to our presenters, and thank you everyone for listening in. We hope you enjoyed today's webinar, and we look forward to seeing you at the next one.

Thank you.

Thank you.

Thanks a lot.

Take care. Bye.

Note: this transcript has been auto-corrected using AI, it may contain mistakes.