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By: Aaron Rubin, Founder & CEO at ShipHeroWhile seeing into the future of your supply chain may be impossible, predicting what may happen can be estimated by looking at the past. When a company wants to know how their finances, supply chain, and marketing may perform in the future, they often examine how things went in previous years.Historical business data can help you successfully estimate things like seasonal trends and product success. One of the processes for looking at this data in the supply chain world is called demand forecasting.
Demand forecasting is the practice of looking at a company's historical data for things such as finances, marketing, and supply to understand likely future trends. Demand forecasting methods end up within one of three categories, either qualitative forecasting, time-series analysis, or casual models. Forecasting can include looking at different lengths of time, using statistical methods, or looking at external influences on your future business.
Businesses use forecasting in many ways to help gain an advantage over the competition. From inventory and supply chain management to cash flow and spend, there are many areas where you can use demand forecasting within your planning.
When preparing your budget, demand forecasting helps you get a glimpse into your company's needs during an upcoming season or year. By knowing positive (and negative) trends, your business is better able to reduce risk and plan through data-backed decision-making. Whether it be inventory needs, staffing, or cash flow, you will be able to estimate your budget more accurately when forecasting.For example, in the ecommerce industry, the holiday shopping season is one of the busiest times of the year. Ecommerce merchants use past holiday shopping data to forecast how much inventory they’ll need for the holiday season.
One area that demand forecasting is extremely useful for is production management. Through analysis of your past seasonal demand, your company can better prepare for needed production before running out. Ramping up production only when needed means customers get items when they want them, and you don't have to put in guesswork and waste money by overproducing.
Warehouse stock needs can be hard to predict, which is why demand forecasting for inventory can help identify your future needs. Looking at inventory needs of the past and rising or falling demand trends, you can better gauge how much stock you will need throughout the year. Like production, having enough to continue providing services and goods is necessary, while having too much inventory can cost you unnecessary storage fees.
External and internal forecasting are two of the many ways to garner insight into the market and potential areas of business growth. Looking at the competition and trends in the historical market, you can better price your items advantageously in relation to rising and falling trends.
There are different types of demand forecasting methods, all using unique forecasting techniques and statistical methods to examine potential future demand. Understanding which demand forecasting you should use is vital to gauge possible trends and future customer demand accurately.
Passive forecasting is the most straightforward when looking for a basic, non-nuanced prediction. In this type of forecasting, you look at historical data from your sales in the past to estimate future sales. Unfortunately, this model doesn't take into account variables, such as retailers that will have seasonal fluctuations. Passive forecasting models often can only be accurately used for analytics with businesses that are highly steady in sales and have robust historical sales data.
The active demand model is most commonly used for businesses that are either very new or have aggressive growth within their marketing campaigns. Because your company may not have the past sales data to have accurate demand forecasts, active forecasting often looks at other resources such as market research, economic data, and supply chain management data.
In the short-term forecast method, insights such as seasonal demand, cyclical patterns, and other similar anomalies are included in the trend projection, making this a great way to examine your inventory management and supply chain. You can also use short-term forecasts to think about new products and their performance. The time span that the short-term method looks at is from three to 12 months.
Compared to short-term projections, long-term forecasting looks quite a bit further out from one to four years into the future. Rather than thinking about recent data sets and sales trends, future projections look at long-term demand, potential business decisions, business growth planning, and marketing planning.
When examining your company’s goals, sometimes you will want to look at how outside forces may affect your forecast accuracy and sales channels. Whether you look at competitor and market trends or other outside factors, external macro forecasting can help you look at some complex factors that may affect your goals. Using external forecasting is excellent if you have concerns about your supply chain, are thinking about expansion, or are concerned about risk mitigation.
If you are looking to create accurate forecasts on your internal operations, such as your sales, a specific product, or a manufacturing division, internal business forecasting is ideal. Internal forecasting is excellent if you need an expert opinion on how things such as your warehouse distribution, purchases, cash flow, or profit margins are trending.
Examining your current trends and predicting future possibilities makes demand forecasting important for any company. Even just using the most straightforward methods can help a company of any size gain insight into how to follow their goals and which goals to set.
Using methods such as short-term forecasting, you can closely examine seasonal trends around your products. By predicting and understanding your customer demand spikes, you can better know how to handle your supply chain and inventory needs. Knowing your seasonal trends can also reveal markets and niches you have yet to tap into during your slower months.
Examining your past cash flow and comparing it to future predictions can help you better understand where your cash flow is going and how much you will have to invest in the future. Having a better understanding of your potential financial health in the future can help you make crucial decisions and goals.
Looking at demand trends, especially seasonal spikes, can help you better plan your supply chain needs. Rather than running out of inventory during your peak seasons, you can invest in more from your suppliers before these higher-demand periods. Knowing when your lulls are in demand for certain products, you can better plan your marketing strategy and only stock as much inventory as is needed during these periods.
External macro forecasting gives you an in-depth look at how outside factors can influence your product performance, sales, marketing, and supply chain. As you understand how different risks may harm your suppliers, products, or business, you can appropriately prepare for changes in external markets to better protect your company. Looking at outside influences can also help your company become more flexible and robust to react to these changes and take advantage of them quicker.
Predictions are a great way to gather data about potential future trends for your company. From threats that you need to prepare for to new markets you should break into, forecasts can help your company make big moves for the future. Whether changing your marketing strategies or reinforcing your supply chain, different forecasts will help you make decisions across your business to bring future success.
ShipHero makes demand forecasting simple, helping you easily gain insight into fulfillment operations, products, shipments, and returns. Our data reporting helps you see everything going on in your warehouse operations to help you make educated and data-backed decisions.We facilitate day-to-day actionable reporting to help keep your team organized while streamlining the process, actionable shipping reporting, and individual team member stats. ShipHero tracks:
Demand forecasting and data analysis help your company make big decisions to give you an edge over the competition. From inventory analysis to marketing initiatives, your company will be able to reduce risks for new endeavors and make profitable decisions. Programs like ShipHero can help.Schedule a meeting today with our experts to learn more about our WMS software built for ecommerce brands & 3PLs looking to run their best warehouse and how ShipHero works to ensure that organizations invest in the solutions that match their needs, to improve productivity, revenue, and success.Click HERE to Schedule a Meeting TodayAaron Rubin, Founder & CEOShipHeroAbout the author: Aaron Rubin is the Founder & CEO of ShipHero. He is responsible for planning and executing the overall vision and strategy of the organization. Rubin’s greatest strengths are leadership, change management, strategic planning and a passion for progression. He is known for having his finger on the pulse of ShipHero’s major initiatives, his entrepreneurial spirit, and keen business acumen. His leadership of ShipHero is grounded in providing excellent customer service that drives improved business operations. His passion for ShipHero comes from the culture and his ability to have an impact on the lives of employees, customers, partners, and investors.Follow Aaron on Twitter&LinkedIn.
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Transitioning to a new Warehouse Management System (WMS) is a high-stakes decision that often triggers concerns regarding downtime, data integrity, and workforce adaptation. As warehouses prepare for 2026 growth, understanding these common hurdles—and the technical solutions that resolve them—is essential for a successful migration. This guide addresses the five primary barriers to adoption and how a high-velocity infrastructure ensures a seamless transition.
Warehouse operators frequently hesitate to upgrade due to perceived risks that can halt operations. These challenges typically include:
To clear these hurdles, a structured implementation strategy is used to prioritize data density and entity clarity.
In the competitive eCommerce landscape, staying stagnant with manual workarounds is often more costly than the transition itself. Moving to a high-velocity WMS converts your warehouse from a cost center into a growth engine by providing Labor Efficiency and ROI through automated routing and reduced authentication friction.
Because the platform is built for the floor worker, features like Workforce Hero allow seasonal temps and new staff to be authenticated and productive in under an hour.
No. High-velocity infrastructure increases visibility by providing Total Real-Time Control. Managers can monitor exactly what is in the Hospital queue and track replenishment in real-time from a single dashboard.
Before going live, a ground-up audit is performed using cycle counting tools. The system's architecture ensures that every movement on the floor is synchronized with sales channels instantly, maintaining 99.9% accuracy.
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Picture a packer at Peak Season. A box is in front of them, a product in each hand, and somewhere on a cluttered desk there's a mouse they need to find to confirm the order. They look down. They hunt. They click. Then they do it again. Thousands of times a day.
That moment of friction is small. But it is never just one moment. Multiply it across your entire pack line, across an entire shift, and you are looking at a measurable and largely invisible drag on your total throughput.
Tap-to-Pack is a purpose-built hardware controller designed by ShipHero to eliminate digital friction at the packing station. It connects via USB-C, requires no drivers or additional software, and syncs automatically with the ShipHero WMS packing app. This new system is now available at the ShipHero Store.
Instead of navigating a screen with a keyboard and mouse, packers execute every high-frequency command — such as selecting box sizes, printing labels, finalizing orders, flagging exceptions — with a single physical tap on one of eight programmable buttons.
Key specifications:
Most warehouses are running 2026 operations on 1990s peripheral standards. The keyboard and mouse were designed for spreadsheets and emails, not high-volume fulfillment. When used at a packing station, they create three compounding problems:
The problem is not your people. It is the tools you are asking them to use.
Tap-to-Pack introduces a "Rodent-Free" packing standard: a workflow where the packer's hands stay on the product, their eyes stay on the work, and the software fades into the background.
The device guides the packer through two feedback systems:
ShipHero customers running Tap-to-Pack are already seeing a 90% reduction in on-screen interactions and a significant increase in the number of orders packed per hour, without adding headcount or changing their warehouse layout.
One of the hardest challenges in fulfillment is absorbing volume quickly, especially during Peak Season, when temporary staff need to reach target productivity fast.
Because Tap-to-Pack's interface is physical and intuitive, there is almost nothing to teach. Pick up the product, follow the light, tap the button. New packers can reach target productivity in minutes rather than hours.
The system is also modular:
Whether you are a growing DTC brand or a high-volume 3PL, Tap-to-Pack is designed so your hardware never becomes a ceiling on what your team can do.
Tap-to-Pack is a programmable, industrial-grade hardware controller that connects to the ShipHero WMS and allows warehouse packers to execute packing station commands, such as printing labels, selecting boxes, and completing orders. All with a single physical button press, eliminating the need for a keyboard and mouse.
The device connects via USB-C and syncs automatically with the ShipHero WMS packing app. It is a true plug-and-play solution: no drivers, no background software, and no manual configuration required.
Yes. Buttons are configurable for a range of packing actions, including Print Label, Complete Order, Select Box Size, and the Hospital function, which flags a problematic order and keeps the line moving without stopping to resolve it on screen.
The system is fully modular. Connect up to two additional 8-button hubs to the Main Hub for a total of 24 programmable buttons, supporting even the most complex multi-step packing workflows.
Tap-to-Pack devices require ShipHero Packing App v1.0 or higher. The current release is v1.1.0.
Imagine running a warehouse where orders are picked quickly, inventory is accurate, and all operations run smoothly without any errors or delays. Thanks to Artificial Intelligence, this can now become a reality with ease.
AI is transforming warehouse management by enhancing efficiency, intelligence, and the ability to meet the rapid demands of today’s eCommerce-driven market.
ShipHero is pioneering this revolution with its AI-powered warehouse solutions, setting new industry benchmarks. This article explores ShipHero’s AI Picking feature, highlighting how it’s transforming warehouse management and enhancing operational efficiency.
The integration of AI technologies, including machine learning, robotics, and predictive analytics, is revolutionizing warehouse operations, driving significant improvements in efficiency, accuracy, and overall performance. These innovations are optimizing processes across various areas, from inventory management to order fulfillment. Below are the key benefits of AI in warehouse management.
A combination of AI technologies is shaping smarter warehouse systems to help revolutionize warehouse management.
ShipHero has taken AI integration to the next level with its AI Picking feature, designed to significantly improve warehouse efficiency. This feature automates the picking process, reducing the reliance on manual labor and enhancing productivity in ways that were once thought impossible.
Let’s dive deeper into how ShipHero’s AI Picking works and the advantages it offers.
AI Picking optimizes warehouse operations in two key ways:
The AI Picking feature delivers a wide range of benefits:
The transformative power of AI extends far beyond just picking. AI is also revolutionizing other aspects of warehouse management, driving improvements in operational efficiency, inventory management, and safety.
AI automates tasks, reducing errors and increasing speed. Automated sorting and real-time inventory tracking ensure accuracy, while real-time monitoring helps managers adapt and ensure timely deliveries.
AI plays a vital role in maintaining accurate inventory levels. By leveraging predictive analytics, AI can forecast demand and optimize stock levels, helping warehouses avoid both stockouts and overstock situations. This leads to better inventory management and fewer disruptions in supply chains.
AI-driven systems can monitor warehouse conditions to ensure safety and compliance with industry regulations. These systems can analyze warehouse data and predict potential hazards before they occur, proactively reducing risks and ensuring a safer working environment.
AI technologies are playing a transformative role in the supply chain and logistics sectors by improving efficiency, reducing costs, and enhancing decision-making.
These intelligent systems effortlessly manage supply chain processes by using data to optimize operations, predict trends, and automate routine tasks. This ultimately reshapes everything, from how goods are moved to stored and delivered.
The future of warehouse management looks promising with greater automation and efficiency, but future warehouse digitization brings challenges, such as high upfront costs and the need for skilled personnel.
AI-powered drones, autonomous robots, and IoT integration are smart warehouse technologies that are revolutionizing warehouse operations. Drones will deliver goods quickly, while robots automate sorting and transportation, thereby reducing the need for manual labor.
IoT and AI integration will enable real-time monitoring and optimization of operations. Smart technology in warehouses is leading to fully automated systems that are faster, scalable, and need minimal human input.
While AI offers immense benefits, businesses must also consider certain challenges. High initial investments in AI technology, data security concerns, and the need for skilled personnel are just a few of the hurdles that must be addressed.
However, with a strategic approach, companies can eliminate the challenges and embrace AI’s full potential to boost accuracy in picking and improve overall warehouse operations.
AI minimizes error by automating tasks like inventory tracking, order picking, and sorting, ensuring greater accuracy and efficiency.
Yes, AI-driven predictive analytics can predict demand, track inventory levels, and improve supply chain efficiency by forecasting needs with greater accuracy to help businesses stay ahead of trends and market fluctuations.
AI solutions are becoming more cost-effective thanks to cloud-based services and subscription pricing models. These options make AI technology more accessible to small businesses, allowing them to take advantage of its benefits without large upfront costs.
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