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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The IT services firm strengthens its collaboration with Google Cloud to help enterprises move AI from pilot projects to production systems
Updated
March 17, 2026 1:02 AM

Google Cloud building. PHOTO: ADOBE STOCK
Enterprise interest in AI has moved quickly from experimentation to execution. Many organizations have tested generative tools, but turning those tools into systems that can run inside daily operations remains a separate challenge. Cognizant, an IT services firm, is expanding its partnership with Google Cloud to help enterprises move from AI pilots to fully deployed, production-ready systems.
Cognizant and Google Cloud are deepening their collaboration around Google’s Gemini Enterprise and Google Workspace. Cognizant is deploying these tools across its own workforce first, using them to support internal productivity and collaboration. The idea is simple: test and refine the systems internally, then package similar capabilities for clients.
The focus of the partnership is what Cognizant calls “agentic AI.” In practical terms, this refers to AI systems that can plan, act and complete tasks with limited human input. Instead of generating isolated outputs, these systems are designed to fit into business workflows and carry out structured tasks.
To make that workable at scale, Cognizant is building delivery infrastructure around the technology. The company is setting up a dedicated Gemini Enterprise Center of Excellence and formalizing an Agent Development Lifecycle. This framework covers the full process, from early design and blueprinting to validation and production rollout. The aim is to give enterprises a clearer path from the AI concept to a deployed system.
Cognizant also plans to introduce a bundled productivity offering that combines Gemini Enterprise with Google Workspace. The targeted use cases are operational rather than experimental. These include collaborative content creation, supplier communications and other workflow-heavy processes that can be standardized and automated.
Beyond productivity tools, Cognizant is integrating Gemini into its broader service platforms. Through Cognizant Ignition, enabled by Gemini, the company supports early-stage discovery and prototyping while helping clients strengthen their data foundations. Its Agent Foundry platform provides pre-configured and no-code capabilities for specific use cases such as AI-powered contact centers and intelligent order management. These tools are designed to reduce the amount of custom development required for each deployment.
Scaling is another element of the strategy. Cognizant, a multi-year Google Cloud Data Partner of the Year award winner, says it will rely on a global network of Gemini-trained specialists to deliver these systems. The company is also expanding work tied to Google Distributed Cloud and showcasing capabilities through its Google Experience Zones and Gen AI Studios.
For Google Cloud, the partnership reinforces its enterprise AI ecosystem. Cloud providers can offer models and infrastructure, but enterprise adoption often depends on service partners that can integrate tools into existing systems and manage ongoing operations. By aligning closely with Cognizant, Google strengthens its ability to move Gemini from platform capability to production deployment.
The announcement does not introduce a new AI model. Instead, it reflects a shift in emphasis. The core question is no longer whether AI tools exist, but how they are implemented, governed and scaled across large organizations. Cognizant’s expanded role suggests that execution frameworks, internal deployment and structured delivery models are becoming central to how enterprises approach AI.
In that sense, the partnership is less about new technology and more about operational maturity. It highlights how AI is moving from isolated pilots to managed systems embedded in business processes — a transition that will likely define the next phase of enterprise adoption.