Price Points by Omnia Retail

Something we see often, especially from larger clients, is a desire to build a dynamic pricing solution in-house. The draw of keeping your pricing information in-house is obvious, and at first glance, it might seem...

Something we see often, especially from larger clients, is a desire to build a dynamic pricing solution in-house. The draw of keeping your pricing information in-house is obvious, and at first glance, it might seem relatively easy to do. But what actually goes into a dynamic pricing solution? The short answer is: a lot. If you’re thinking of building your own dynamic pricing solution in-house, we understand. But with 7 years of experience, we thought we would share some insights on what you should consider in your home-built solution. The 4 ingredients in a dynamic pricing solution No matter what sort of dynamic pricing system you want to build (or how complicated you want to make it), there are four main components in the process you should consider: The data The pricing logic The automation The user interface The first two components make your dynamic pricing functional. The second two components makes dynamic pricing a success. Data Data encompasses many different data points, both internal and external. Internally, consider product purchasing price, stock levels, sales information, and more. Each of these data points help you decide how to price your products based on known information. The most important external data source is your competitor data. You want to understand which competitor is selling the same product against what price and with what kind of delivery costs and times. This data can come from a variety of sources, such as scraping data directly from competitor websites or via comparison shopping engines. Collecting this data sounds easier than it actually is. To have a full overview of the markets, you need: Connections with multiple data suppliers (the more the better), for a complete understanding of your market An internal data collection program for collecting purchase price, stock levels, marginal and logistical costs, product lifecycle, and more The knowledge to understand what that data means for your business The technical ability to validate data and ensure quality Data suppliers are especially important, and the general rule of thumb is the more connections you have, the better. Sometimes one data source can’t match all GTINs and you need to supplement it with another. Ideally you will get data from two sources: direct scraping data from competitor websites for accuracy, and comparison shopping engine data to understand where your competitors are advertising. Rates for data partners (like scrapers) can be expensive, and going with a cheaper partner will cause data quality issues. And data quality is of the highest importance when it comes to dynamic pricing. You also need the ability to process that data multiple times per day, because some of these variables are subject to frequent changes. Competitor prices, for example, update repeatedly throughout the day, so it’s easy to fall behind the market. Pricing rules and pricing logic Once you have a dataset of all your competitors and internal data, it’s time to make decisions about how you want to react to changes in the market or changes in internal variables. In a dynamic pricing tool, these decisions can be made by pricing business rules or by more advanced predictive algorithms. We’ve seen that a combination of both works best. The collection of all these rules and algorithms forms your pricing strategy. Pricing rules, at their core, tell your dynamic pricing module how to act in a given situation or when a data variable changes. Some examples of simple pricing rules are: Always be the lowest price on the market by 5% Always be the highest price on the market by 5% Match Competitor X’s price In reality though, your pricing rules will get more complex than this. You can follow a group of competitors, use historical data and past performance to calculate new prices, and even include weather information to react to sudden changes in demand in the market...there are a lot of opportunities! Your tool should use these rules to suggest “price advices” for every product in your assortment (or any product that you run through the dynamic pricing software). Your team should trust these price advices, understand how the tool calculated the price, and be willing to use those prices without a second thought. You can build pricing rules and pricing logic, but doing so requires some imagination. You need to think about your entire strategy upfront, then ask your IT department or BI team to build rules for every situation. Once they build these rules, you’ll have a library at your disposal. It is key that a particular pricing strategy can be applied to each subset of your assortment, as different commercial strategies can apply for each part of the assortment (for example, a year round electronics category vs. a seasonal garden category). However, building these pricing rules does take time because they are so complex, and your development team needs to build them in a way that’s also easily explainable. If these rules are not transparent, your pricing teams won’t trust the price advices. Additionally, once you implement those rules there is one element you can’t control: how the market will react to your changes. Your system needs to be smart enough (and agile enough) to use these reactions in future price updates. Automation The first two steps of the process are crucial to getting a price advice that you trust and which reflects your overall commercial strategy. But for a system to truly add value, you need to automate all price changes. The first point for automation is the data collection, specifically the competitor pricing data collection. Competitor prices change continuously and you need to be able to adapt over your full assortment without any manual steps. Manually validating price checks cost pricing teams as much as 10 hours per week per person, and the work is tedious. You should automate this part of the process to not only save time, but to also improve the overall working life for your team. You also need to automate price updates to your online store. After your software calculates the new price advices, it can upload those prices into you e-commerce platform that displays the prices on your website, comparison shopping engines, or even electronic shelf labels. This automation step also saves crucial time and allows your store to stay agile as the frequency of market changes increases. Data validation Automation is obviously an important part of the dynamic pricing system. To get the most out of dynamic pricing, you should automate your entire process, from data collection to price updates. If you don’t automate the entire process, you’ll quickly fall behind the market. But doing so removes the points for manual data verification and validation. Data validation is a crucial aspect that makes pricing automation a success. Without it, your team won’t be able to trust the recommended prices or use the insights to build more profitable strategies. So before you begin with automation, you need to trust the system completely with your pricing data, and feel comfortable that your shop is safe. And to do that, you need to build data validation into the system, and go thorugh comprehensive data validation tests that let you evaluate the entire chain, from input to export. Some areas to ensure safety include: The consistent quality of the data you import into the system. How will your dynamic pricing tool access high quality data? Price advice boundaries. What is the maximum or minimum price acceptable for each product? Failsafes. What should the system do if the chain breaks? Building a basic infrastructure for data validation is difficult, but not impossible. But the reality is that if you want to build an agile system where pricing rules can easily be added or changed, the data validation process quickly becomes complex. User experience and interface Up to this point, we’ve focused on the back end of the dynamic pricing tool. But now it’s time to think about the daily use of dynamic pricing. How can you encourage the adoption of dynamic pricing and make it an integral part of your teams’ workflows? The answer lies in the user interface of the portal you build to manage the dynamic pricing system. You can’t discount the value of user design and experience, and it might even be the biggest barrier to adoption beyond building a platform. Your end user is your pricing and category managers. From an interface perspective, there are two goals to help them : Give the end user insights that make their job easier Allow the end user to continuously iterate on the strategy without the barrier of IT Insights give your end users confidence in the tool, as well as the information they need to build better pricing strategies. These insights will help your team react to market trends, for example, or quickly respond when a competitor runs out of stock on a popular product. Pricing and category managers should also be able to use the tool freely and make changes to pricing rules as needed. They should be able to do this without calling in development or your BI team every time they want to make an adjustment. Additionally, design makes a difference. While the interface doesn’t need to be pretty, the better designed it is, the easier it will be to use. To build a proper that suits your user’s needs, you can hire consultancy agencies or do your own internal tests with your team. IT investment for dynamic pricing So how much time and labor does it take to build a proper dynamic pricing solution? A conservative effort is 1-2 years for a team of developers, and it takes work from both IT and the business side of your company. This period will result in the minimum viable product for the data collection system, establishing the pricing rules, building price advice algorithm, portal, and a repricing tool (if you choose to automate your repricing). Building the infrastructure for dynamic pricing is a time-consuming and laborious task. However, this two year period is just the start of the journey: you also need IT and development resources to maintain the tool after you’ve built the infrastructure. And for the tool to stay relevant and useful, you need to invest development time into iterating and improving the tool continuously as business demands change. So the short story is that your dynamic pricing tool requires a significant investment from your developers in house. And as Berend van Niekerk says in Episode 5 of Price Points: That's a lot of work. And for every company the I.T. resources are really scarce. So then it's a question — do you want to invest four or five developers full-time into building dynamic pricing system? Or do you want to invest those guys into building your e-commerce platform or anything that's important for you or for your everyday sales? That question is one that you can only answer for yourself. Final thoughts Building a dynamic pricing software is a much bigger beast than most companies expect. It requires significant investment in time, energy, and money, and is an ongoing process that you need to continually maintain and update. Now, that doesn’t mean you can’t build your own tool in-house. And for some companies, that might be the best choice for you. But there are tradeoffs to consider — namely in the development capacity you need. In many cases, a third-party dynamic pricing solution makes more sense economically, and it also allows your development team to focus on what really matters: your e-commerce platform.

Dynamic pricing does come with some risk. But that risk isn’t actually all that big. In fact, compared to the rewards that come with dynamic pricing, the risks seem comparatively small. And with proper preparation,...

Dynamic pricing does come with some risk. But that risk isn’t actually all that big. In fact, compared to the rewards that come with dynamic pricing, the risks seem comparatively small. And with proper preparation, safety features, and support, you can easily limit (and in some cases eliminate) the amount of risk you take. Curious? Keep reading to learn why dynamic pricing is much less risky than you think. What are the risks associated with dynamic pricing? In our experience, customers are most afraid of a couple of key things before they start their dynamic pricing journey. The first major fear is the chance of a race to the bottom, which involves the vicious cycle of competitors lowering prices until the market crashes out at a price point of close to 0. This fast descent into profit loss looms over the minds of many executives and directors when they first confront dynamic pricing. This is a risk, of course, though it’s one that’s largely controlled by proper safety checks within your dynamic pricing system. No matter which dynamic pricing software you use, you should make sure the algorithm has limits that are easy to understand and set up. You should then install those limits on every product, and properly test these limits before launching. When done correctly, these limits help you avoid a race to the bottom with dynamic pricing. Secondly, there is the risk of handing your entire pricing system over to a fully automated software, especially if you don’t fully understand how the software works. Many people feel that automation in general is a sort of “black box” where you don’t know what’s happening behind the scenes. In some ways it’s sort of like a computer. The vast majority of people use their computer for a very specific purpose that’s relevant to their job, emailing, surfing the internet, gaming, etc. Most of us don’t understand the complete inner workings of the computer, and likely don’t know how to get the full potential out of the machine. This isn’t a bad thing, of course, it’s just the reality. We trust the computer to do these things for us, and also know that if something goes wrong, the stakes are relatively low. If you don’t understand the back end of an electronic word processor works, it won’t cost you your job. Dynamic pricing is a little different in that if you don’t understand it, the potential to lose your job or tank your profits is higher. The potential for disaster is greater and affects more than just a single person. Again, automation does present a risk, but proper safety checks and setup neutralize the threat.One easy way that we at Omnia help you understand what’s happening behind the tool is with our “Show Me Why” button, which details the logic behind every pricing decision. This makes sure you can explain every action that the tool took to arrive at a price. Risk of change Ultimately, the biggest risk by far with dynamic pricing is founded in a fear of the unknown. Most companies know that dynamic pricing will transform their operations across multiple departments, and this change is understandably scary. What happens when you ask your employees to change their way of working completely? How long will it take for your organization to get used to dynamic pricing software? What if the return on the investment takes longer than expected? These fears are completely valid, and like all fears they tend to be the loudest voices in our heads. But with proper planning, preparation, guidance, and tools, dynamic pricing can catapult your company into a more profitable future. The rewards of dynamic pricing Dynamic pricing software is more than just a software. It’s an opportunity to move your company squarely into the modern era of e-commerce with a clearer roadmap for where you want to go. Here’s the thing: dynamic pricing is a tool that you control. You have full jurisdiction over how it works, and control the risks within it. And you can’t use the tool properly if you don’t fully understand what your commercial objective is, how that commercial objective translates into a pricing strategy, and how to execute that pricing strategy effectively within your chosen tool. If you don’t take these steps before buying into dynamic pricing software, you won’t get the full value of the tool. That’s why our most successful customers - the ones who thrive in our system - use the implementation of dynamic pricing to evaluate their company goals and build a better plan for the future. When they do this, the first thing most see is more time. On average, our customers save about 10 hours each week within the first quarter of using Omnia. As each customer grows comfortable with the automation, they hand over more of the robotic, tedious tasks to our software. And while this saved time is an excellent benefit, it isn’t really the time that matters. It’s the ability to use that time to focus on building a better strategy that moves your company towards your goals, whatever they may be. For customers who are the first in their category to implement a dynamic pricing solution there is also a first mover advantage. The companies who are the most successful with technological innovation are the ones who move the fastest and make the largest investments in the sphere. These companies are not only able to get a grip on the technology before the competition, but they can also adopt future innovations much more easily because their systems are primed for it. The reality is that dynamic pricing is on most retail company’s radar. But that doesn’t mean you can’t reap the benefits of acting quickly. How to have more reward and less risk Moving from dynamic pricing may seem risky, but the rewards far outweigh the chance of failure. And the risks of dynamic pricing can be largely minimized with proper planning and preparation. So, how do you get more reward with less risk? We’ve rounded up our top 6 tips. First and foremost, you should be realistic when it comes to the adoption of dynamic pricing. Most retailers are beginning to adopt the practice, so the longer you wait, the further you’ll fall behind your competition. This brings us to our second tip: get started early, and look beyond your pricing department as the only one that can improve with software. When planning for dynamic pricing software you should make sure that all relevant stakeholders are at the table for all relevant discussions. This should include individuals from your purchasing, marketing, operations, and pricing departments. Third, you should go back to the basics. With Omnia, there are five key steps to successfully implement dynamic pricing, and the first three (which are arguably the most important), don’t involve the software at all. These steps involve revising your commercial objective, then defining a pricing strategy and pricing methods based on that objective. Only after you have a strategy and methods in place can you start translating these into business rules in your chosen software. To define your commercial objective and pricing strategy though, it pays to have outside help. That’s why our fourth tip is to hire a consultant to coach you through the process and give you clear direction. If you’re curious who Omnia trusts to help you through these steps, you can take a look at our partners page. The fifth tip is to start small. You don’t need to automate your entire store from the start. Start instead with one product or category, learn how the tool works, and eventually you will be able to add in more complex strategies. Finally, the sixth tip is to find the right tool for your business needs. Omnia is one of these tools, of course, and we’ve designed our Dynamic Pricing module to lower risk and elevate reward. You can also add in our marketing modules to get a complete overview of your entire online presence. But what really makes Omnia special is our Customer Success approach, which gives you a whole team dedicated to making your dynamic pricing journey a success. From the start you’ll go through a complete onboarding process that teaches you how to use the tool and work with consultants to set up the proper pricing strategies. After you learn how to use the tool, a Customer Success Manager will conduct quarterly review sessions to show you how you can get even more value out of the software. And of course, if you have any small questions in between, customer support is available. Final thoughts To have a big reward, you need to take some risk. And while there is a risk with dynamic pricing when it is implemented incorrectly, the proper safety measures (and the right people to show you how they work) can all but eliminate that risk. When you have the right preparation and process and a team to help you set up, dynamic pricing software is actually a low-risk, high-reward endeavor. If you’re interested in seeing these safety measures for yourself, sign up for a free two-week trial of Omnia today and see how Omnia works with you to make dynamic pricing a success. Click the button below to get started.

So you’ve decided that you want to use a dynamic pricing software... But what happens next? It’s a reasonable question to ask. And it usually comes with countless more. What do I need to do besides install the software?...

So you’ve decided that you want to use a dynamic pricing software... But what happens next? It’s a reasonable question to ask. And it usually comes with countless more. What do I need to do besides install the software? Who do I talk to? How long does it take to get started? What is the process? If these questions are swirling through your head, don’t worry. In this post we’ll walk you through the “Roadmap to Dynamic Pricing,” a 5-step approach to organizational dynamic pricing success. Step 1: Define your goals for dynamic pricing Before you implement a dynamic pricing software, you need to have a clear idea why you want to use the software. Do you want to reduce the amount of time you spend updating your prices? Or just start updating your prices with the market? Do you want to build strategies at the category level? What about the product level? Gather all the stakeholders involved, and discuss the reasons why you’re bringing dynamic pricing software into your organization. You might realize you have more than one goal, which is fine. One of our customers, for example, wanted to: Optimize prices for margin Improve their price perception Reduce time spent on manual labor The more specific you can be with these goals, the better. They should also align with your overall commercial objective. Want more insights on how to define your pricing goals and build a strategy? Check out Five Steps to Successfully Implement Dynamic Pricing. You can also take a look at our Partners Page to see who we trust to help you define your goals and build a strategy around them. Step 2: Establish dynamic pricing responsibilities When you introduce a dynamic pricing software, many of the responsibilities on your team will change. Your teams will need to work together in new ways, and when you get the software up and running you’ll likely experience a reduced workload — meaning more time for your employees. So how do you manage all of these responsibilities and changes? And what happens to accountability when responsibilities change? Your organization is unique, so finding the right balance of responsibility will also be unique. In general though, the goal should be to have your buying, category, and pricing teams share responsibilities and the execution of price changes. Our advice? Start small with rolling out, beginning with just one product category or market. This way you can learn more about how your organization needs to change, and apply these lessons to future roll outs. Step 3: Build dynamic pricing strategies When you begin using a software to manage your pricing online, it’s an opportunity to dig deep into your pricing strategy, evaluate what’s working for your company, and discover areas for improvement. If you don’t take time to organize and plan your strategies, your pricing can quickly become complex when automated. Take some time to review pricing strategies, and make sure everyone in your organization knows your planned strategy. You can ask a consultant to help you with this step, or you can also subscribe to the Omnia blog to get free advice on pricing methods and strategies. And when it comes time to actually set up the strategy in your software, do it together with all relevant parties. This should also be a repeatable process: define your objectives, strategy, method, and rules for every product or category. Most importantly though, keep your strategies and pricing methods transparent across your organization. All involved parties should be able to clearly explain your strategy, and any changes should be easily accessible for all levels of the company. Step 4: Prepare your systems and data for dynamic pricing Before implementing dynamic pricing, most retailers have a pricing strategy that’s grown organically over time. And while you might still want to use the same basic strategy after implementing the software, chances are your current pricing system is spread out across different departments and owners. Just take a look at the question we got from one of our clients: “The process of changing prices takes about 3 days and data is scattered and not owned by any department. How can we be dynamic and accurate in this environment?” Dynamic pricing software lets you centralize this information into one, easy-to-use location. But it does take time to do this. We advise customers to start small with this part of the process. Much like we mentioned in Step 2, it’s useful to start small, learn from mistakes, and improve as you scale. Begin by focusing on one channel or part of your assortment, and invest in the system, process, and data during the pilot phase. Then apply those lessons to your next roll out. Step 5: Test and monitor your dynamic pricing methods You’re tuning the most important profit lever and investing heavily in both people as well as tools. How do you know if starting dynamic pricing was worth it? To answer this question, you need to test and monitor your results. One simple way to test is to establish a baseline before you fully implement Dynamic Pricing. You should look at all aspects of your business, including revenue, gross margin, logistical cost, marketing cost, FTE, and price image. Another option is to do some A/B tests against control groups. However, A/B testing does have some significant downfalls, so we suggest a slightly more sophisticated way of testing your online pricing’s effectiveness: compare across products within similar categories. Testing will ultimately help you build a business case for the software. Final thoughts Getting started with dynamic pricing software is a journey, and it’s never bad to have a little help. That’s why at Omnia, we invest heavily in customer success. When you use our software, you automatically will get a dedicated onboarding manager, solutions consultant, and customer success manager to help you navigate the road to dynamic pricing. Ready to try Omnia free for two weeks? Click the button below to get started.

In our blog Five Steps to Successfully Implement Dynamic Pricing, we encouraged you to start by defining your company’s commercial objective. But how do you determine your business goals? And how do those goals relate...

In our blog Five Steps to Successfully Implement Dynamic Pricing, we encouraged you to start by defining your company’s commercial objective. But how do you determine your business goals? And how do those goals relate to your pricing strategy? A good commercial objective needs work. In this post we’ll explore the process of defining this objective and give you practical advice on how to get started. What is the commercial objective? The commercial objective is an explanation for why your company exists and what customers can expect from your organization. In many ways, the objective is a compass that helps you make business decisions that align with your brand, goals, and consumer interests. Creating a commercial objective might seem easy at first, but it’s actually difficult to pin down exactly: Why you exist What makes you unique What your overarching message is Who you’re targeting But once you have the answer to these questions, you can make more strategic decisions that match your organization’s goals. An example of a commercial objective Home Depot has a great example of a commercial objective: “The Home Depot is in the home improvement business and our goal is to provide the highest level of service, the broadest selection of products and the most competitive prices.” This simple sentence clarifies several aspects of the company. They target consumers working on do-it-yourself projects around the home. It’s also clear what they want to achieve: quality service, numerous choices, and competitive prices. What does a commercial objective have to do with pricing strategy? A defined commercial objective is crucial for both your internal and external aspects of business. Internally, it helps to add measurable objectives for your departments. For example, Home Depot’s internal goals could include: Our service need a Net Promoter Score (NPS) of at least 8 (Operations team) We always offer 10,000 products per store (Category management) Our prices will never go above the market average (Pricing team) An important link with pricing already starts here: it’s hard to combine low prices with high service offering. Services cost money, so if a high quality of service is part of your objective, you need to factor these costs into your product prices. Looking back at Home Depot, you can see this in action. Notice that the company specifically keeps its language about prices vague with the words “most competitive.” This is because they need to factor in their high-level services, consumer perception, and more into their prices. If they promised to have the lowest prices, they could never provide the same level of service to their consumers. Since your commercial objective manifests in your prices, it also is crucial for the external aspects of your business. Price points act as signposts for consumers, and customers know what to expect from a service at every price point. If consumers see high prices for your products, they’ll assume that it includes a certain amount of service. High prices with low service offerings will brew customer resentment and be detrimental to your business. Your competition will either out-price you or offer a better value-for-money option for consumers. How to define your commercial objective There are two major steps in the process of determining your commercial objective: market research followed by business introspection. Both reach to the foundations of your business and serve as the base for your commercial decisions. Step 1: Analyze your market How do you want consumers to perceive your company? What is your ideal position and image? Before you can answer these questions, you need to analyze your market and see where you stand among your competition. There are numerous ways to do a market analysis, but for our purposes it’s important to drill down what you want to know about your competition. Consider the metrics you’ll use for bench-marking, and which companies you’ll analyze. At a minimum, evaluate your competition’s: Product prices Service agreements with customers Assortment size Specialization levels Use this information to evaluate different stores in your industry, then categorize them broadly. The graphic below is an example of how you can organize the data in a benchmarking map. This graphic looks at the number of products vs. price and service across a market: A matrix like this clarifies who your direct competition is and where there are gaps in the market. Step 2: Think about your goals After examining the market, it’s time to turn inward and focus on where your company stands in relation to the rest. Ask yourself what kind of company you want to be, and how you want to achieve those goals. Do you want to be a discounter with loads of products? Or a specialist in one product category (such as bags and suitcases)? Or somewhere in between the two? As a specialist you could have a higher price and a better value offering through services (such as fast delivery and product knowledge), but you will also make fewer sales. As a generalist you’ll make more sales, but you can only raise your prices to a certain point. Other good questions include: What are the opportunities in the market? Are their gaps in the above matrix? What are your current strengths and weaknesses? How do consumers perceive you now? How large is the gap between your current position and your ideal position? The answers will help you decide where you want to be in the market. Remember to write your goals according to SMART principles: Specific, Measurable, Achievable, Relevant and Time-bound. These principles help ensure your goals are actionable. Talk to one of our consultants about dynamic pricing. Contact us Mission Statement vs Vision Statement What is a Mission Statement? A business mission statement describes the purpose for existing. For example, a company may exist to solve problems related to education, healthcare, or society. Defining and promoting such helps educate investors, employees, customers, and the general public. Let’s examine Amazon to survey a mission statement example: “To be Earth’s most customer-centric company, where customers can find and discover anything they might want to buy online, and endeavours to offer its customers the lowest possible prices.” What is a Vision Statement? A business vision statement articulates aspirations and intended impact upon consumers, society, the globe, etc. It entails what a company is, yet is more interested in establishing what it aspires to become. IKEA’s is often among vision statement examples: “Our vision is to create a better everyday life for many people.” Difference Between Goals & Objectives Let’s first define a goal in a business context to distinguish a goal vs objective. A goal is a set outcome a business seeks to achieve. This could be more general, as to have a profitable year. Objectives seek to be more specific. For example, factoring a dollar amount and amount of time to define “profitable.” So, what is an objective? Business objectives are specific steps taken toward achieving company goals combined with a clear method of measurement. An objective is described in more quantifiable terms. Organisational strategic goals are more qualitative, such as aspiring to increase the quality of customer service. But, objectives can be measured, such as to reduce response times of customer inquiry to four hours by the end of the first quarter. Goal statement examples: We will maximise profits We will increase employee revenue We will be an industry leader Strategic objective examples: Increase profits by a minimum of 20% in the next fiscal year Average salary within the company will rise 15% in the next five years We will penetrate an additional 30% market share by the second quarter Move on to your pricing strategy After you’ve done the work of determining how you want the public to view your brand and what level of service you plan to offer, you can build a strategy that reflects your goals. We’ll cover this more in another post, but this is a good time to think about how your business goals translate into monetary needs. Conclusion Since your commercial objective should drive your pricing strategy, not the other way around, this process is an important foundational step towards automated pricing. As the overarching goal of your company, it should answer the question of how you want consumers to perceive your company and what they can expect from you. It’s an important step towards achieving your maximum profitability, and it’s the basis for everything to come. Have you defined your commercial objective and are interested in automated pricing management? Click the button below to request a free demo of Omnia today.