Because running a café takes more than just a good roast
Updated
March 18, 2026 6:29 PM
A cup of espresso being brewed. PHOTO: UNSPLASH
Coffee has grown beyond being just a drink—it’s part of culture, connection and even a daily productivity hack. Think about it: friends catch up over cappuccinos, professionals start the day with a quick espresso and students practically live on iced lattes during exams. It’s woven into routines, with two-thirds of American adults consuming coffee on a daily basis and averaging around three cups per day. That is much higher than other beverages like tea, juice and bottled water. It is therefore no surprise that the global coffee shop industry is projected to reach about US$123.43 billion by 2030. For entrepreneurs, that makes coffee shops more than cozy corners with good aesthetics. They’re a real business opportunity. But before you open a coffee shop, here are five things you should know.
Like any small business, the success of your coffee shop often hinges on where it is. Coffee may have broad appeal, but daytime foot traffic and visibility can still make the difference between a busy café and one that struggles to stay afloat. Opening near universities, office parks, co-working hubs or residential neighbourhoods with young professionals can instantly give you a strong stream of potential customers.
That said, choosing a coffee shop location is not just about picking a busy area. You also need to know your target market. For example, opening a third-wave specialty coffee shop in a low-income neighbourhood may not work if your prices are beyond what local residents want to pay. The same café might perform much better in a more affluent or fast-changing district.
Competition matters a lot in the equation too. Walk around the area and see what other coffee shops are doing. The goal is not always to avoid competition but to find a gap in the market. If nearby cafés focus on quick grab-and-go drinks, there may be room for a slower, more community-driven coffee shop built around hand-poured brews and a relaxed atmosphere. Simply put, your shop’s exact street address could make or break your business.
It’s important to understand this early on: running a coffee shop is not just about serving coffee. Customers today have endless options, from making coffee at home to buying from major chains like Starbucks. What brings them through your doors is often the overall experience.
According to a report by Salesforce, 91% of customers say they’re more likely to make another purchase after a great service experience. That means your café needs to give people a reason to stay, come back and recommend it to others. Maybe it is the interior design, the playlist that feels just right, the reliable Wi-Fi, the convenient charging points or simply the way the space feels. Remember, good coffee gets people in once, but a strong customer experience gives them a reason to return.
Opening a modest-sized sit-down café in the U.S. can cost anywhere between US$100,000 and US$350,000. The final number depends on your location, your coffee shop concept, your equipment and how much you spend on the fit-out and interior design. Beyond those startup costs, your monthly expenses—like rent, utilities, staff salaries and coffee bean purchases—will play a huge role in whether your business survives the first year.
Profit margins in coffee retail are thinner than new owners expect. On average, small to medium-sized coffee shops make a 3-10% profit margin, which means efficiency is key. Selling higher-margin items like snacks, light bites and pastries can help lift revenue. A US$2 slice of banana bread, for example, may cost cents to make but can still raise the average spend per customer.
You also need to factor in seasonality when planning your coffee shop revenue. For instance, in warmer months, there is usually higher demand for iced and cold beverages. Many cafés respond by introducing cold brew, iced teas, smoothies or limited seasonal drinks to their menus. That helps keep sales steady and protects the average ticket size throughout the year. At the end of the day, running a café is just as much about managing the numbers as it is about serving great coffee.
A barista isn’t just someone pulling espresso shots; they’re often the face of your coffee shop. A warm smile, remembering a regular’s order or sharing a fun fact about the beans can create the kind of connection that keeps customers coming back.
As specialty coffee culture boomed in the early 2010s, baristas became more than brewers—they are now guides and storytellers. By talking about coffee origin, processing methods, bean varieties and roast profiles, they help customers understand what they are buying and why it matters. That mix of knowledge and personality can have a real impact on customer loyalty.
That’s why hiring and retaining great baristas is one of the smartest investments a café owner can make. Beyond competitive pay, creating a workplace where people feel valued also matters. Training, room for creativity and a sense of pride in the craft can go a long way in helping staff stay engaged.
Opening a coffee shop is exciting, but opening the doors and hoping people walk in is not enough. Good coffee shop marketing today is less about spending big and more about telling a story people want to follow. Well before you launch, start building hype and share behind-the-scenes snippets on Instagram, whether that is taste-tests, design decisions or even the messy parts of setting up the space. That kind of content feels real and helps build anticipation.
Once your café is open, think beyond basic promotion. Loyalty programs, collaborations with local businesses or even hosting events like poetry nights, art exhibits or coffee cupping sessions can all help bring people in. Social media is useful here too; it is not only a place to post latte art but also where you show what your brand stands for. Do you focus on sustainability? Do you source coffee ethically? Do you support local artists? Those details humanize your brand and make your café more than just a pitstop for caffeine.
Overall, opening a coffee shop blends passion, community and entrepreneurship. It also requires clear thinking and strong business decisions. From choosing the right location and creating a memorable customer experience to managing costs and building a great team, success takes more than just brewing good coffee. If you treat your coffee shop as both a craft and a business, you give it a much better chance of becoming a local favourite.
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A new safety layer aims to help robots sense people in real time without slowing production
Updated
March 17, 2026 1:02 AM
An industrial robot in a factory. PHOTO: UNSPLASH
Algorized has raised US$13 million in a Series A round to advance its AI-powered safety and sensing technology for factories and warehouses. The California- and Switzerland-based robotics startup says the funding will help expand a system designed to transform how robots interact with people. The round was led by Run Ventures, with participation from the Amazon Industrial Innovation Fund and Acrobator Ventures, alongside continued backing from existing investors.
At its core, Algorized is building what it calls an intelligence layer for “physical AI” — industrial robots and autonomous machines that function in real-world settings such as factories and warehouses. While generative AI has transformed software and digital workflows, bringing AI into physical environments presents a different challenge. In these settings, machines must not only complete tasks efficiently but also move safely around human workers.
This is where a clear gap exists. Today, most industrial robots rely on camera-based monitoring systems or predefined safety zones. For instance, when a worker steps into a marked area near a robotic arm, the system is programmed to slow down or stop the machine completely. This approach reduces the risk of accidents. However, it also means production lines can pause frequently, even when there is no immediate danger. In high-speed manufacturing environments, those repeated slowdowns can add up to significant productivity losses.
Algorized’s technology is designed to reduce that trade-off between safety and efficiency. Instead of relying solely on cameras, the company utilizes wireless signals — including Ultra-Wideband (UWB), mmWave, and Wi-Fi — to detect movement and human presence. By analysing small changes in these radio signals, the system can detect motion and breathing patterns in a space. This helps machines determine where people are and how they are moving, even in conditions where cameras may struggle, such as poor lighting, dust or visual obstruction.
Importantly, this data is processed locally at the facility itself — not sent to a remote cloud server for analysis. In practical terms, this means decisions are made on-site, within milliseconds. Reducing this delay, or latency, allows robots to adjust their movements immediately instead of defaulting to a full stop. The aim is to create machines that can respond smoothly and continuously, rather than reacting in a binary stop-or-go manner.
With the new funding, Algorized plans to scale commercial deployments of its platform, known as the Predictive Safety Engine. The company will also invest in refining its intent-recognition models, which are designed to anticipate how humans are likely to move within a workspace. In parallel, it intends to expand its engineering and support teams across Europe and the United States. These efforts build on earlier public demonstrations and ongoing collaborations with manufacturing partners, particularly in the automotive and industrial sectors.
For investors, the appeal goes beyond safety compliance. As factories become more automated, even small improvements in uptime and workflow continuity can translate into meaningful financial gains. Because Algorized’s system works with existing wireless infrastructure, manufacturers may be able to upgrade machine awareness without overhauling their entire hardware setup.
More broadly, the company is addressing a structural limitation in industrial automation. Robotics has advanced rapidly in precision and power, yet human-robot collaboration is still governed by rigid safety systems that prioritise stopping over adapting. By combining wireless sensing with edge-based AI models, Algorized is attempting to give machines a more continuous awareness of their surroundings from the start.