What’s the difference between AI island vs AI native solutions? Explore the power of AI and its impact on profitable decision-making throughout the retail process.
Prescriptive AI Is What Predictive Always Wanted to Be
The retail industry is all about timing and shopper expectations that never stop evolving. The ability to predict what might happen is no longer enough; retailers need to know what to do next. That’s where prescriptive AI enters the picture. Not just as a powerful tool, but as the strategic backbone of smart allocation and retail success.
Retailers that still rely on manual planning or predictive analytics alone are at risk of falling behind. While predictive AI can analyze past data to forecast trends, prescriptive AI goes further by recommending exactly what action to take to achieve optimal results. It’s the difference between saying, “We’re likely to run out of stock next week,” and “Ship 300 size mediums to Chicago by Thursday.”
According to a recent survey of 100+ retail executives about their retail strategy by 7thonline, 33% of retail executives are currently using AI to analyze/forecast demand. The move from predictive AI to prescriptive AI is a game-changing shift.
Why AI Matters in Retail: Prescriptive AI, Predictive AI, Agentic AI and Beyond
As artificial intelligence continues to develop, retailers are increasingly faced with the challenge, and the opportunity, to integrate AI into every step of their workflows in meaningful ways. But to truly unlock AI’s value, it’s important to understand the distinctions between different types of AI—in particular, prescriptive and predictive AI. Knowing how and when to apply each can make the difference between basic automation and transformative performance.
Today’s most visible AI applications often fall under the category of generative AI—think of ChatGPT writing a blog post or GitHub Copilot recommending code—these tools rely on large language models to generate output. They are not built to make decisions based on future possibilities.
Predictive AI in Retail Leads to Smarter Forecasting, Limited Action
Predictive AI is built specifically to forecast what is likely to happen based on patterns identified in historical data. It’s one of the most widely adopted AI tools in retail, helping brands anticipate demand, understand customer behavior and plan seasonal strategies. From identifying best-selling products to forecasting supply needs, predictive AI informs planning, but stops short of driving execution.
Some of the benefits of predictive AI for retailers include:
- Risk Mitigation – By identifying potential risks and operational vulnerabilities early, predictive AI helps retailers take preemptive action, improving supply chain resilience and cost control.
- Optimized Resource Allocation – Forecasting demand more accurately helps retailers avoid overstocking or understocking, leading to better inventory balance and reduced carrying costs.
- Personalized Customer Experiences – Predictive models enable tailored marketing and merchandising based on customer behavior, increasing satisfaction and driving conversions.
- Improved Product Development – Insights into trends and customer needs help brands launch more relevant products, better manage SKUs and refine future collections.
The challenge? Predictive AI might tell a retailer that outerwear sales will spike in October, but it won’t advise how many coats to ship, where to ship them or what sizes and colors are most likely to sell in each region. That kind of tactical guidance requires something more powerful.
Prescriptive AI: From Inventory Guesswork to Precision Execution
This is where prescriptive AI transforms retail strategy. Unlike predictive AI, prescriptive tools don’t just analyze trends, they recommend real-time, data-driven actions to achieve the best outcomes based on the brand’s needs and challenges. Prescriptive AI takes into account past sales, current stock levels, store performance and supply chain constraints to guide decisions at a granular level.
In inventory management, for example, prescriptive AI enables brands to dynamically allocate products across channels, optimize assortment mixes and make agile in-season decisions to preserve margins. It connects planning with execution, automatically and intelligently. Some of the benefits of prescriptive AI for retailers include:
- Optimized Operations – Prescriptive AI improves workflows by offering concrete recommendations for day-to-day tasks like allocation, replenishment and merchandising.
- Faster, More Confident Decision-Making – Retailers gain immediate, real-time insights that empower teams to act quickly and accurately in fast-changing market conditions.
- Increased Revenue and Margin – With improved sell-through, fewer markdowns and better alignment between supply and demand, prescriptive AI helps drive growth and reduce waste.
- Enhanced Customer Satisfaction – By ensuring the right product is in the right place at the right time, brands deliver better shopping experiences, driving loyalty and repeat purchases.
- Strategic Advantage – Prescriptive tools allow retailers to model scenarios, test responses and plan future strategies with more precision, giving them a significant edge in a crowded marketplace.
Prescriptive AI for Smarter Allocation and Fulfillment
Prescriptive AI is especially powerful when it comes to smart product allocation. Traditional allocation relies on rules and parameters including store size or historical averages. But retail today requires dynamic, demand-driven precision. With prescriptive AI, retailers can identify which stores need more of a specific SKU, which locations will underperform with certain products and when to shift inventory based on real-time sales velocity.
By automating complex planning decisions, prescriptive AI frees up teams to focus on strategy instead of spreadsheets—getting out of “Excel Hell”. Businesses see improved workflow efficiency, tighter supply chain coordination and more agility in responding to disruptions.
More importantly, prescriptive AI helps unify disconnected systems by bridging gaps between merchandising, planning, marketing and fulfillment. The result is a more synchronized, responsive retail organization.
Real-World Results: A $250M Fashion Brand Concept Case
To understand the impact of prescriptive AI in real terms, 7thonline ran an ROI analysis for a $250 million brand exploring our wholesale planning and allocation solution.
In the first year, without changes in production, the brand saw a projected $1.9 million boost in revenue, driven purely by better product placement. Alongside SG&A cost reductions, this delivered a 161% ROI. By year two, the brand reached full implementation and benefit realization. By year five, the cumulative benefit grew to $7.3 million, while total cost of ownership dropped to less than half its original value, delivering nearly 8X return on investment.
Faster insights. Smarter actions. Better performance.
AI has revolutionized how retailers analyze data by making it faster, more accurate and more intuitive. With intelligent analytics, businesses can move from reacting to problems to anticipating and solving them proactively.
Predictive AI identifies patterns and forecasts future trends, helping retailers make informed decisions. Prescriptive AI goes a step further, using those insights to recommend the best actions to optimize outcomes. Both are powerful, but serve different purposes. Retailers that understand when to use each can turn data into strategic advantage including boosting efficiency, accuracy and performance across their operations.
Read in the AI Journal: https://aijourn.com/prescriptive-ai-is-what-predictive-ai-always-wanted-to-be/
To learn more about how prescriptive AI can help brands and retailers make faster, smarter decisions, book a demo or email us at info@7thonline.com.
Staying Ahead of Shoppers with AI that Aligns Supply and Demand
August 1st, 2025: Liberation Day part 2. With new tariff headlines (and rising consumer fears on what this means for their discretionary income), making smart production decisions that align supply with demand is imperative for retail brands to protect their margins. But between new rates and pushed implementation dates, uncertainty won’t subside until the ink dries. AI-powered supply chain forecasting software that integrates supply and demand data can empower retailers to plan ahead and make decisions that improve the bottom line.
Supply Side: Tariffs, Risks and Disruptions
10%. 20%. 30%. Tariff pricing is continuing to fluctuate and markets are reacting (albeit not as sharply as on the first Liberation Day). With varying degrees of diversification and globalization, brands will feel the effects of additional tariffs differently.
Regardless, most brands have begun implementing a variety of mitigation strategies including vendor negotiation and stockpiling products. According to a recent 7thonline survey, the most common move is likely to be price hikes—35% of retail leaders surveyed claimed price adjustments as their first response to new tariffs. Budget-friendly brands such as Shein and Temu have already increased their prices as they have lower margins than others. While others such as Gap and Urban Outfitters are choosing to absorb the additional costs, and are using this as an opportunity to obtain more market share. Some brands have opted for a wait-and-see approach, not allowing the headline-driven fears to falter their strategy.
Our survey revealed that over 20% of retail executives are not confident in their supply chain’s ability to manage disruptions, aiming to improve flexibility and resilience through infrastructure changes. The most common actions? Reducing overall inventory levels, diversifying suppliers and shifting to just-in-time inventory models.
Demand Side: Capturing Trends in Consumer Behavior and Fears
Recent retail sales data revealed slower demand in the American market, with May seeing the biggest drop. However, economists think the worst is yet to come. Our survey revealed declining spending remains the top concern for this year with 39% of retailers already seeing lower demand in the past year.
With a weak sentiment index, smarter assortment planning is critical to ensure each SKU earns its place on the shelf—especially as tariffs eat away at margins.
A demand-driven, data-informed approach empowers businesses to stay agile, plan accurately and protect margins. Assortment planning—part art, part science—not only anticipates relevant trends but also leverages data to analyze and forecast demand. With AI-powered retail planning software, retailers can seamlessly blend analytics with merchant intuition and creativity to engage shoppers and deliver what they truly want—down to style, color, size.
Getting the right products to shoppers, wherever and whenever they’re looking, is essential in ensuring shoppers keep shopping with your brand. Using AI, you can understand consumer behavior and maximize inventory productivity based on the item’s propensity to sell across channels.
Aligning Supply and Demand: Designer Changes Tailored to Shoppers
Business of Fashion states: Suppliers could start getting pickier about what products they’ll produce, and brands on what they’ll make, simplifying design components or opting only for higher margin products. Hardware store Home Depot, for example, warned it may stop selling some products if increased costs make them unprofitable to sell.
“We need to have certainty. Companies can’t make decisions on investment and shifting supply chains and so on with the rates constantly changing. And as it starts hitting demand it’s going to be really important for the economy that we get clarity on it so that supply and demand can normalize.” — Aneesha Sherman, Bernstein US apparel and retail analyst.
While the delayed go-to-effect date might have softened the blow for holiday planning—a crucial period for retailers—shopping behavior and appetite for the rest of the year is still up in the air; leaving retailers confused and screaming for certainty.
To learn more about how AI can help brands and retailers stay ahead of consumers, book a demo or email us at info@7thonline.com.
Concept Study: Driving ROI for Wholesale
A leader in multi-channel inventory management and retail planning solutions, 7thonline has been empowering retailers to drive ROI across channels for 25+ years. With artificial intelligence and machine learning embedded into the core of the platform, 7thonline enables data-backed, integrated decisions that directly impact the bottom line: higher margins through proactive selling, reduced overproduction and excess inventory, smarter allocation, improved order fill rate and more.
Based on various metrics such as revenue and gross profit margin, our team is able to conduct concept studies to show the impact of our platform for various brands; the concept study includes aggressive, likely and conservative scenarios to calculate the return on investment for our direct-to-consumer and wholesale solutions. 7thonline’s ROI model was developed by Kurt Salmon, part of Accenture Strategy, based on an independent study of 7thonline’s clients to serve as a benchmark for investment evaluation for retail executives.
For brands with wholesale channels, acting on new opportunities that improve inventory productivity amplifies ROI through improved order fill rate, additional margins from proactive selling and more. Using 7thonline’s demand forecasting and consumer-centric selling tactics for wholesale operations, we ran the following numbers for a detailed ROI analysis.
According to the ROI analysis, a brand with an estimated $2B annual revenue is projected to see the following:
- Conservatively, the analysis projects a 4X net benefit after the first year, with a net benefit of $8.3M. By year five, ROI jumps to 2513%, with a cumulative benefit of $96.6M.
- Aggressively, the analysis projects additional revenue due to proactive selling to be $26M, and $51.9M due to improved fill rate, in year one.
- Using AI for operational efficiency saved the brand between $1-3.1M in SG&A (Selling, General and Administrative) costs for the first year.
For a $250M brand, we ran an ROI analysis of using 7thonline’s wholesale solutions to find the following:
- Assuming the brand is not overproducing products, they were projected to see a conservative increase in revenue growth of $1.9M within the first year.
- Conservatively, the analysis projects a 161% ROI in the first year due to an increase in revenue and decrease in SG&A costs—realizing 100% of benefits by year two.
- In year five, the brand has reached nearly 8X on ROI, with a cumulative benefit of $7.3M, while the cost of the project has decreased to less than half the original investment.
Our AI-native system utilizes proprietary vertical-specific algorithms and industry best practices to drive value for all brands and retailers across wholesale, DTC and ecommerce channels regardless of size. As brands continue to grow, our platform not only scales to their business needs but also realizes more potential, boosting returns for multi-channel brands.
Discover more concept studies for DTC brands and multi-channel brands.
To learn more about 7thonline’s AI-powered wholesale planning and forecasting solutions, email us at info@7thonline.com or book a demo with the team.
Building and Growing an Inventory System with Max Ma
7thonline Founder and CEO, Max Ma joined Clint Betts on the CEO Podcast to discuss leadership, AI in retail, the latest economic outlook and—of course—tariff strategies. Read along as he discloses his secret strategy to growth, or listen in as the pair share their thoughts and insights here: 7thonline CEO Max Ma.
Building and Growing an Inventory System: 7thonline’s Journey
Before 7thonline, I was working in the retail industry on the IT side of the business. I realized there were a lot of inefficiencies—the inventory problems everyone experienced (on both the supply chain and demand sides). That led to the start of 7thonline in 1999, to help retailers improve their inventory decisions.
We have evolved quite a bit: from a 800 sq ft office to offices globally, some of the most reputable retail brands signing on, expanding our product from a small part of supply chain planning to now covering the full spectrum of multi-channel inventory planning and production decisions, and more.
Leadership, Talent and Customer Success
My secret leadership strategy? Hiring top talent and making sure every person on the team feels like a leader.
It starts from recruiting the best and the brightest from the industry—on the retail side and the tech side. Over the years, we’ve worked very hard to attract, recruit and retain our core team members. Everybody is talking about AI (talent), some of our team members have been leading AI practices for global consultancy firms for over 25 years.
After 26 years, I’m still really enthusiastic about the business because I enjoy what I do. Every day, we use the latest and greatest technology to help the industry. We look at each customer case to figure out how to deliver value and really help them improve their supply chain decision making processes.
AI is in our DNA
We embed all AI capabilities around the supply chain processes. For long-range planning, we have AI to help our customers forecast up to 5 years out. For allocation, we have AI size capabilities to deliver the most appropriate size profile for each retail location.
When most people talk about AI, they typically talk about large language models. This is just one of the many AI methodologies. We have that (in our CoPlanner) but we have also deployed all kinds of AI into our product modules—different business cases may require different AI capabilities and algorithms. The current AI drive has made AI more visible and legitimate, which is great for us; we’ve been aggressively and iteratively developing AI capabilities over the past 25 years.
For example, one of the biggest challenges in retail is Excel. Excel has a few problems, everyone has their own versions, formulas are error-prone and it doesn’t give the organization a unified view. First you have to think about how to move to a systematic approach, versus a disconnected one with data silos. But with AI, they can transition to an information highway.
Outlook for the Rest of 2025
I believe technology will be an important truth for businesses to weather the storm. We help people be smarter with their trade decisions, mitigating risk. Because of the potential tariff impact, people have to reduce their risk by lowering unproductive inventory.
To learn more about 7thonline’s capabilities, email us at info@7thonline.com or book a demo.
Value Tracked by Retail Inventory Management Systems
In the world of inventory management systems, the inventory value under management (IVUM) is a vital metric for SaaS platforms that power thousands of merchants—a backend financial metric that signals scale, trust and impact. This represents the total monetary worth of all goods currently tracked within the system, aggregating the respective retail value to answer the question: “How much product is flowing through the ecosystem?”. Keep reading for a behind-the-software peek at our 2025 numbers so far.
Calculating Inventory Value and IVUM
For retailers selling physical products, inventory value helps monitor stock-related cash flow, minimize overstock and build accurate financial forecasts—understanding how much capital is tied up in inventory.
Inventory Value = Quantity on Hand × Unit Cost (or Market Value)
For inventory management systems, the metric to watch is inventory value under management, demonstrating the system’s scale and impact. Advanced IMS tools also factor in real-time updates from warehouses and POS systems to get the most accurate count.
Inventory Value Under Management = ∑ (Quantity on Hand × Unit Cost) for all SKUs
Tracking inventory value is not just an accounting task, it’s a strategic lever that influences everything from cash flow to customer satisfaction.
Total Value Under 7thonline, A Leading Web Based Inventory Management System
7thonline is a leading provider of cross-channel inventory management and retail planning solutions, empowering retailers and wholesalers to make smart merchandising decisions at every step of the retail workflow. With artificial intelligence and machine learning embedded into the core of the platform, 7thonline has been empowering leading retailers and wholesalers to make data-backed, integrated merchandising decisions for 25+ years.
Since 1999, 7thonline has been enabling some of the world’s largest brands to optimize planning and navigate a tremendous volume of inventory. In 2025, users from just 20 wholesale and retail partners entrusted the system to help them manage:
-18+ million SKUs
-$6T+ worth in inventory held
-139M+ POS transactions
…and the numbers are growing by the minute.
Inventory Management System for Small Businesses and Enterprises
In today’s fast-moving marketplace, inventory management systems (especially those powered by AI) are no longer a luxury; they’re a necessity in boosting efficiency, accuracy and profitability. Whether you’re running a local retail shop or managing a global supply chain, the right system can transform how you operate—making sure you’re ahead of your shoppers and competitors.
An inventory system for small business streamlines and simplifies, enabling you to scale—gone are the days of spreadsheets and manual processes. With real-time data and enhanced accuracy on a centralized system, SMBs can gain better visibility into stock movement and avoid tying up too much capital in unsold goods. Improving visibility and decision-making is also important for large enterprises as it pertains to efficiency—seamlessly integrating suppliers and logistics partners ensures timely replenishment and smarter stocking decisions.
To learn more about how 7thonline’s inventory management capabilities can help your business, email us at info@7thonline.com or book a demo with the team.
The Importance of Localized Size Profiling & How AI Helps You Get it Right
“Sorry, we don’t have any more in that size.”
Out-of-stock sizes rank as the top complaint among shoppers. Inaccurate stock purchasing across sizes is estimated to result in profit loss of up to 20% on average a month. In today’s retail climate, precision is everything. With shifting consumer preferences and compressed product lifecycles, the margin for error has never been smaller. One area where we consistently see brands leaving revenue on the table? Size allocation.
The Power of Localized Size Profiles
Too often, size profiles are applied broadly across regions—or worse, chain-wide—without accounting for localized demand signals. A best-selling medium in one district could be deadstock in another. Getting the right products in the right size, to the right store, at the right time is no longer optional—it’s essential.
Localized size profiles enable brands to fine-tune allocations down to the store or region level based on actual demand, not assumptions. But creating these profiles manually is time-consuming, and static models quickly fall out of sync with current selling trends.
That’s where AI steps in.
AI + Real-Time Data = Smart Allocation and Assortment Planning Software
Retailers are increasingly turning to AI tools to overcome challenges in balancing demand, availability and profitability. AI enables a more agile, responsive approach to assortment planning through granular insights on real-time data. Risk is reduced as production decisions are informed by what actually sells, cutting down on waste and markdowns.
Leverage advanced AI and machine learning models to analyze real-time POS data, identify emerging demand drivers and detect shifting size curves as they happen. This means brands can automatically adjust allocations based on what’s actually selling—down to the store level.
Our AI models factor in:
- Local climate and demographics
- Historical sell-through performance
- Category-level trends and seasonality
The result? More accurate demand forecasts, optimized size runs and fewer markdowns.
The Bottom Line
Localized size profiles powered by AI aren’t just a nice-to-have—they’re a competitive advantage. With today’s tools, retailers can stop relying on intuition and start making data-backed allocation decisions that drive full-price sell-through, reduce stockouts and increase margins.
Are you ready to turn your size profile strategy into a growth driver? Talk to the team at info@7thonline.com or book a demo.
Retail Sales in May: Tariff Impact on Consumer Demand in H2 2025
According to a recent survey conducted by 7thonline, 34% of retail leaders are concerned about declining consumer spending for this year—and this fear isn’t unfounded. May’s retail sales data was released this week, declining more than expected with the biggest drop in four months. However, apparel sales tell a different story.
Excluding automobiles, gasoline, building materials and food services, May’s “core” retail sales increased .4%, after an upwardly revised .1% fall in April, suggesting a modest pick up in consumer spending this quarter; clothing sales rose by 10bps between April and May. However, downside risks to consumer spending are rising: slower labor market, student loan repayments resuming, tariff-induced stock market volatility, etc. While tariffs have had a clearer impact on large-ticket items, markets are signaling a slowdown for the second half of the year as tariffs begin to weigh on disposable incomes, according to Michael Pearce, deputy chief economist at Oxford Economics.
7thonline’s survey of 100+ retail executives revealed that 73% of leaders are expressing concern over rising tariffs over the next year, with over 1 in 3 confessing their first response to new tariffs would be to adjust product pricing. Some retailers have been transparent about their plans to hike prices but others have not yet disclosed their strategies.
“Past experience suggests the biggest price rises will come in July, though the full impact of the tariffs likely will emerge across the whole of the remainder of the year,” said Samuel Tombs, chief US economist at Pantheon Macroeconomics.
Despite distress around consumer spending, price adjustment is the go-to move due to low margins—over 75% of retailers said that they would be unable to absorb more than a 25% increase in tariff costs. 7thonline CEO, Max Ma, shared with Sourcing Journal that because margins are slim, navigating spending discretion amid increased tariffs is especially challenging but “many retailers…are pressuring their suppliers to lower prices, so they’re trying to do it on both sides.”
Here are five more strategies retailers and wholesalers can adopt to offset the cost of tariffs: https://www.7thonline.com/post/five-tariff-strategies-for-retail
While tariff news and fears may have come off their peak, the effects are still yet to be fully seen. To learn more about how your team can use AI to navigate shifting consumer demand, email us at info@7thonline.com or book a demo with our team.
Inside Retail Strategy: How Executives Are Adapting to Demand, Tariffs and Technology
Key Takeaways
- 33% of retail executives are currently using AI to analyze data/forecast demand.
- Over 1 in 5 retail executives lack confidence in their supply chain’s ability to handle disruptions.
- 73% of retail executives express concern about additional increases in tariffs over the next 12 months.
- 35% of retail executives say their first response to a new tariff increase would be to adjust product pricing.
Evolving demand, rising tariffs and rapid advancements in AI are reshaping the retail landscape. This report analyzes how retail leaders are adapting their strategies in 2025, drawing on insights from a survey of over 100 retail executives. From supply chain confidence to technology adoption, the findings offer a look into the challenges and priorities shaping today’s retail strategy.
Demand Is Shifting—and Retailers Are Feeling the Pressure
While 36% of executives say demand has increased, a larger share (39%) report a decline. With 1 in 10 admitting their forecasting is poor and concerns mounting over consumer spending and rising costs, retail leaders are navigating a highly complex demand landscape.
As consumer demand shifts, retailers are seeing the strongest growth through branded ecommerce channels, with 33% reporting increased activity on their own sites. This suggests that more consumers are seeking direct-to-brand experiences, while traditional in-store retail and social commerce are capturing a smaller share of emerging demand.
Retailers Are Reinforcing Supply Chains—But Confidence Remains Mixed
More than 1 in 5 retail executives say they’re not confident in their supply chain’s ability to manage disruptions. To reduce risk, many are cutting inventory levels, diversifying suppliers and making infrastructure investments aimed at improving flexibility and resilience.
To reduce inventory risk, retailers are taking tactical steps like cutting inventory levels and diversifying suppliers—but their long-term focus is shifting toward smarter merchandise planning. More responsive pricing strategies (20%) and speed to market (14%) top the list of investment priorities, reflecting a push to become more agile amid ongoing supply chain uncertainty.
Tariff Pressures Are Forcing Retailers to Rethink
With 73% of retail executives expressing concern about rising tariffs over the next year, many are already weighing how to manage increased costs. From passing costs onto consumers to renegotiating supplier terms, retailers are navigating complex decisions in an uncertain economic environment.
Half of retail executives have yet to take specific action in response to rising tariff costs, but among those who have, the most common strategies include passing costs to customers (24%) and absorbing them internally (22%). Most retailers say they could only absorb a 25% tariff increase or less before needing to raise prices, and 35% say their first response to a new increase would be to adjust product pricing—highlighting how limited their flexibility truly is.
Retailers Are Cautiously Exploring AI—But Barriers Remain
A third of retail executives are already using AI to forecast demand, and 34% expect it to play a major role in sustaining or growing profits within the next two years. While most are maintaining their current tech investments, adoption is still limited by internal expertise gaps, budget constraints and uncertainty about ROI.
Retailers are exploring a range of AI applications, with marketing, inventory management and pricing optimization leading the way. Only 16% are currently using AI for demand forecasting—despite growing recognition of its potential.
What’s Ahead for Retail Strategy
Retailers are balancing immediate pressures with long-term priorities—from managing tariff impacts to cautiously adopting innovative technology such as AI. As 2025 unfolds, building flexibility, improving forecasting and investing in strategic planning will be key to staying competitive.
Methodology
7thonline surveyed 105 retail executives about their retail strategy from June 2-11, 2025. Of the respondents that disclosed their job title, 53% were C-suite executives, 16% were owners and 8% were directors.
7thonline is a leading AI-powered retail planning and forecasting software, enabling more effective planning, demand forecasting and inventory optimization for leading retailers and wholesalers. With embedded business intelligence and rich analytics, the solution offers complete demand visibility and planning capabilities at the most granular level. To learn more about our suite of solutions, book a demo or email us at info@7thonline.com.
Behind the Software: Selling Retail Planning Software with Lauren Taubes
7thonline Director, Lauren Taubes sits down with Sue Firth on The Executive Edge to talk about balance as a working mom selling retail planning software. With over 20 years of experience in fashion tech, spanning trend forecasting to ERP systems and now 7thonline, Lauren is passionate about helping fashion companies optimize their processes.
“I want people’s lives to be better, faster and easier. I want to sell them something that makes their jobs day-to-day within the fashion industry more effective, more efficient.” – Lauren Taubes
Key Takeaways: Life and Selling Retail Planning Software
- Technology Innovation: Small to medium fashion companies can significantly benefit from moving beyond Excel-based planning to sophisticated SaaS solutions
- Work-Life Integration: Success comes from finding supportive environments that understand the realities of being a working parent
- Relationship-First Sales: Building genuine connections and providing value leads to long-term success, even when immediate deals don’t close
- Industry Expertise: Deep knowledge of your sector combined with genuine passion creates authentic sales conversations
- Supply Chain Reality: Modern consumer expectations require sophisticated planning and forecasting to maintain satisfaction
Maximizing Capital for Retailers with Supply Chain Issues and the Amazon Effect
Sue: It’s not just the customer journey, it’s the data analytics of working out how shoppers are going to buy the product at full price. It’s understanding people and their buying processes so that the client, the company that makes the product in this case, gets the maximum capital.
Lauren: These big fashion, apparel, footwear companies globally, you want to make sure that what they produce, they don’t have too much or too little inventory. If you have too much, it’s sitting in the warehouse. Or too little inventory, and you’ve lost sales because you don’t have enough to put them on your shelves or your ecommerce site or the major department store you sell into. The current job I’m at (7thonline), really helps people plan more efficiently to make sure the customer has what they want at the end, and not overspend or underspend and make too much or too little.”
Sue: On the consumer side, shoppers are frustrated with long and delayed deliveries—even with tracking apps. Known as the Amazon effect, expectations for delivery times have changed to be almost instantaneous, and this has shifted down to even the younger generations.
Lauren: With the issues of supply chain, what our planning solution does, we make sure that they have the right amount of products to get it in transit and there on time for shoppers.
Key to Success & Work-Life Balance
Sue: What do you feel were the ultimate ingredients for success?
Lauren: My parents (my dad was actually always in sales), customer success, building relationships and rapport, passion to connect with people, desire to make a difference by supporting the fashion industry. I always knew I would be driving my own success, being motivated to do the best I can at any organization. Being surrounded by like-minded individuals, a clear path and having experts around me.
Sue: Success and having children, it’s not by accident that you find many women struggle big time to balance this. What about yourself?
Lauren: When I had my first daughter, I was really fortunate that the owners of the organization really supported me. Also at small businesses! They really supported me with fluidity, made sure I was okay and set me up for success managing a brand-new baby before going back to work. It’s a fine line, I always like to say that I’m always running—there’s always something to do whether for work or for personal reasons. One of my top priorities when selecting a role is to make sure that there is that flexibility to support my two children.
Listen to the full podcast here: https://suefirthltd.com/finding-work-life-balance-with-lauren-taubes/
7thonline is a leading retail planning software, enabling more effective planning, demand forecasting and inventory optimization. To learn more, email us at info@7thonline.com or book a demo with our team.












