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By Moez Ali
With growing eCommerce channels and increased online shopping behavior, omnichannel retailers are grappling with the increased complexity brought on, in part, by current events, but more so the anticipated need to combine online and in-store merchandising, especially for the “new normal.” Siloed decisions around allocation, promotions, in-season pricing, inventory transfers, and fulfillment will fail to deliver the expected margin performance unless they address the interconnectedness of onlin
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By Kerry Williams
The grocery sector was arguably hit as hard by the pandemic as any and is still dealing with the most persistent hangover—namely ongoing supply shortages, inventory imbalances, and excessive spoilage and waste.
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By David Barach
Among other reasons we’ve talked about, many retailers are looking at AI-powered pricing solutions because they feel confined by strict sets of pricing rules and policies, often put in place many years ago—long before modern data science was even a concept.
Artificial Intelligence (AI) can analyse large datasets, automate mundane tasks, and improve business decision-making processes. AI-powered demand forecasting and planning can be used to streamline the buying process, manage in-season markdowns more effectively, and provide accurate demand forecasts - all of which ultimately translate into stronger margins.
In our previous blogs, we discussed the transformative capabilities of AI in demand forecasting and planning for the retail and CPG industries, as well as the data science and ethical considerations behind it. Now, in this final installment of our series, we'll explore how businesses can maximize their margins by integrating, adopting, and executing AI-powered solutions.
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By Sivakumar Lakshmanan
Following our well-received presentations with Walgreens’ Andy Kettlewell at this year’s NRF and RILA LINK shows, we were fortunate to present another testimonial breakout session—this time from a CPG perspective—at Gartner’s annual Supply Chain Symposium/Xpo in Orlando. One of the things I’m especially proud of since the beginning of antuit.ai is the number of customers who’ve been eager to come forward and share their positive experiences with us.
Digital code behind a digitized face Welcome back to our series with Nicholas Wegman, Ph.D., Senior Director of Artificial Intelligence and Alex Barnes, Senior Director of Product Management, as they continue to discuss the science behind Artificial Intelligence (AI) and reveal how it can specifically increase retail/CPG margin. In the second part of our three-part series, we’ll delve deeper into the data science of AI, and why it’s not working for every business.
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By Jasneet Kohli
We know that for many retailers and CPG companies, AI/ML solutions represent a game-changing technology. Yet, this journey seldom comes without a few expectable “growing pains”—from adoption and scale through a fully-fledged data-driven transformation. For multiple internal stakeholders across an organization, the end-to-end process can seem quite daunting—especially without a well-defined plan.
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By Lauren Simmons
Effective retail price optimization is essential for increasing profitability, driving revenue, and enhancing customer satisfaction. As we navigate through the economic aftermath of the pandemic—inflation, supply chain uncertainties, and other lingering disruptions, successful retailers are leveraging advanced, data-driven price optimization solutions.
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By David Barach
Deciding what metrics to measure leads to the next big issue: How to Measure. Often the problem is not so much in the measuring but in the comparison. Measuring the revenue is only useful if you can compare it to a baseline of revenue to know whether the result is good or not. Summarized, there are four basic techniques, each with advantages and disadvantages: Test and Control: Typically execute new pricing in some locations while using the legacy process in others.
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By antuit.ai
One highlight of NRF 2023 was our well-received co-presentation with Walgreens Group VP Andy Kettlewell, joining our CEO, Sivakumar Lakshmanan to discuss Walgreens’ landmark AI demand planning transformation—serving 9 million daily customers’ health and wellness needs across almost 9,000 stores nationwide.
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By antuit.ai
In the ever-competitive drugstore space, Walgreens knows challenging the status quo is essential to continue providing excellent shopping experiences for an average of 8 million customers every day—and retain 95 million loyalty club members. Moving beyond outmoded direct marketing and price promotions, they’ve turned to antuit.ai AI-powered demand planning solutions to reimagine inventory, finance, and replenishment across 9,000 store locations and walgreens.com.
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By antuit.ai
PacSun Co-CEO Michael Relich and CIO Shirley Gao discuss antuit.ai’s pivotal role in keeping pace with Amazon and pandemic supply/delivery challenges: optimized omnichannel inventory distribution and AI/ML-powered markdown strategies—faster sell-through at higher margins.
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By antuit.ai
The start of the holiday shopping season can mean a 600% spike in omnichannel sales. See how PacSun relies upon antuit.ai solutions to efficiently allocate inventory among its 300+ stores, as well as streamline fulfillment of online orders—creating happy customers at lower costs.
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By antuit.ai
Any successful omnichannel strategy relies upon leveraging data. See how antuit.ai has enabled PacSun to right-size inventory and reduce costs across the shopping experience—in-store sales, ‘BOPUS’, and ship-from-store.
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By antuit.ai
What do you get when you put a CEO, CTO, and two industry leading experts on a call together? Insights. Retail has been struggling mightily to overcome many challenges in consumer behaviors, supply chains, and inflation. Technology is helping overcome these challenges and provide solutions that benefit the customer.
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By antuit.ai
Product Pricing Isn’t Hocus Pocus. . . Scott Weitzman sits down with Alex Barnes to discuss what exactly Revenue Growth Management is, how it works, and why now is the most important time to focus on consumer retention. As Scott learns, this is not just some magical system that makes prices, but rather something that allows CPG companies to understand their consumers better and help meet them at the shelves.
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By antuit.ai
Stop letting demand fluctuations and disruptions ruin your business. It’s what it’s all about in the supply chain, modern challenges call for modern solutions. Demand Forecasting is becoming the norm for retailers and CPG companies, providing a unified view of demand is how the future of managing demand is changing.
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By antuit.ai
Everything starts with data, but the answer lies within what you do with that data. We look to better understand how Demand Modeling Studio allows data scientist the freedom to not only be creative but also organize workflows within this new platform. Antuit.ai the leader in AI-powered solutions for Forecasting and Merchandising, empowering world-class retailers, and consumer products companies to digitally transform their businesses and achieve substantial business results.
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By antuit.ai
Omnichannel shopping is straining retailers, challenging old methodologies, hampering fulfillment, and depleting margins. What can be done? Omnichannel-aware is about positioning inventory intelligently, within your DC and store network, to be closest to the customer to enable fulfilling demand in-store, curbside or delivered to home in the most profitable way while meeting and exceeding service level expectations.
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By antuit.ai
Out of stocks and overstocks cripple retailers' businesses. Fifty nine percent of consumers report that they leave stores due to empty shelves - and this is only a small part of the problem. What is the financial cost to retailers? How is it impacting customer retention? And what is working and not working to solve these issues?
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By antuit.ai
Anticipating demand provides substantial financial benefits through better planning, distribution, inventory, and pricing. But in numerous conversations with many CPG and retail executives, we have heard further excitement about its impact on transforming their organization.
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By antuit.ai
How Intelligent Order Promising bridges the Supply & Demand Gap For CPG companies, Intelligent Order Processing (IOP) is a new area of AI application that has arisen out the hard learnings of 2020. All major functions of a CPG firm, from Sales to Strategic Planning to Order Fulfillment, are now asking how AI can help them better manage the incidents of demand and supply variability that are here to stay.
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By antuit.ai
What a global CPG company gained from an integrated RGM solution To achieve financial targets, CPG companies manage two major levers: costs and revenue growth. Recently, there's a renewed focus on Revenue Growth Management. Why? Because traditional approaches to achieve the price and market share increases are not producing results. Economic profit dropped 67% in the last decade, and COVID made it worse. Read how CPG companies face these issues and what one company did to change their trajectory.
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Serving Fortune 1000 companies globally, antuit.ai – part of Zebra Technologies – is rethinking the way retail and consumer products companies use AI to solve real business problems. Antuit.ai offers solutions that inform the most important business decisions, from supply chain to merchandising to marketing, empowering world-class retailers and consumer products companies to digitally transform their businesses to achieve substantial business results.
Anticipating demand, planning responsively, and executing fluidly for omnichannel operations requires sharpening your demand intelligence with AI:
- AI that complements the person: Our AI complements your employees' work, knowledge, and experience to drive impactful outcomes.
- Scalable systems for your organization: Our solution, unlike many others, scales across your business for all products, locations, and channels.
- Commitment to your success: We’re not only interested in selling licenses or getting you live, but ensuring you receive the results that you expect.
Smart Inventory Decisions is Smart Business.