Practical advice on starting a business is crucial for young entrepreneurs because it helps them navigate challenges, avoid common pitfalls, and increase their chances of success. Many startups fail due to lack of knowledge about financial management, market demand, or operational challenges. Many young entrepreneurs struggle with budgeting, pricing, marketing, technologies-including AI possibilities and cash flow.
Learning financial literacy prevents mismanagement and ensures sustainability of business. The global landscape changes rapidly. Practical advices, good research and good theoretical knowledge helps many entrepreneurs stay agile, pivot when necessary, and embrace innovation. Learning from others entrepreneurs or mentors provides valuable connections and opens doors to future partnerships, funding, and market insights.
Creating a business plan for a new venture is essential, as it provides a clear direction for your efforts and helps attract partners and sponsors. The advantage is that it can be continuously adjusted and adapted as your business grows, aligning with the company’s evolving needs and changing circumstances
To create an effective AI business model, the company must first identify the customers it aims to serve. These customer groups can be segmented based on varying needs and attributes to ensure that the strategic application aligns with the specific characteristics of the chosen customer segments. What type of customers will your business serve using AI? If your answer is “everyone,” that’s a red flag. The absence of clear focus on this question is a major issue, as it will create confusion across your entire business and make everything else more complicated.
Startups must have a deep understanding of the market for several key reasons. Knowing the market helps startups pinpoint who their ideal customers are, ensuring they focus their resources on attracting the right audience. Understanding the competition allows startups to identify gaps in the market, offering unique value propositions with help of AI that differentiate them from others. By knowing the market and the need if AI, startups can identify emerging trends in technologies or customers needs or shifts in customer behavior, allowing them to stay ahead of the curve.
Clear business goals, objectives and problem identification is the next step. Start by clearly defining the challenges you want AI to address.
Align AI implementation with strategic business goals, such as increasing revenue, improving efficiency, or offering personalized experiences.
Choose the right AI technology for your business: depending on your goals, select the appropriate AI technologies and tools like AI platforms, AI software that best suit your needs. This can take time, especially if you are not very familiar with new technologies. In most cases, it is best to consult a specialist, explain what you imagine, what you need, so that he/she can guide you to the right choice for you. Decide whether you will develop your own AI solution or purchase a ready-made platform or service from a vendor.
Using AI models require large volumes of data. Ensure that your business has access to relevant data, such as customer behavior, sales figures, or other helpful information. Clear, structured, and high-quality data is essential for future success.
Develop a clear AI strategy that outlines how AI will integrate into your operations, workflows, and goals. Break the entire process into smaller phases with clear milestones and clear goals – when, what, how much? Start with smaller pilot projects before you can fully integrate AI into your business. Each sector has its own characteristics – you can start with a smaller investment, then assess what and where to improve in terms of AI.
Set up metrics to track the performance of the AI system against your business objectives, such as cost savings, efficiency gains, or customer satisfaction. Regularly monitor the performance and impact of AI, making adjustments and improvements as needed to ensure it meets goals.
Scale AI across the Business. Once the AI solution works well in one business field, expand it, if needed, to other parts of the business where AI can add value.
AI in customer service
McDonald’s has been leveraging AI-driven self-order kiosks as part of its strategy to enhance customer experience and streamline operations. These AI-powered kiosks are designed to personalize the ordering process, making it more efficient and tailored to individual customer needs. The kiosks can suggest menu items based on the time of day. For example, during breakfast hours, the system may suggest breakfast items. The system can adjust the menu recommendations depending on the weather. For instance, if it’s a hot day, the kiosk might promote cold drinks or ice cream. On a colder day, it might suggest hot beverages like coffee or soups. The AI-driven self-order kiosks have already been implemented in various McDonald’s locations around the world, particularly in United States, United Kingdom, Australia.
Domino’s Pizza has an AI chatbot, Dom, which takes orders via text and voice. The chatbot can communicate with customers via text messages, whether through Domino’s website, mobile app, or third-party messaging platforms WhatsApp. Customers can send a text message with their desired order, and chatbot will respond by helping them through the menu, confirming the order, and providing delivery or pickup options.
Sephora, a global cosmetic retailer, uses AI-powered virtual assistants to enhance the shopping experience for customers. The Virtual Artist allows customers to upload their photos and try on different makeup products virtually. The Sephora chatbot, available on their website and through messaging apps, provides personalized beauty advice, product recommendations, and helps customers with finding stores or product availability.
The fashion retailer H&M uses a chatbot named for handling customer inquiries and providing personalized product recommendations. H&M uses AI to answer customer questions about store locations, product availability, and delivery options. It also helps with basic tasks such as order tracking and finding specific products, improving the efficiency of their customer support system.
Starbucks’ Deep Brew AI customizes drink recommendations based on past purchases. Their AI-driven platform allows them to innovate with AI and ML, not only to personalize drive-thru experience but also automate time-consuming tasks.
Lufthansa Airlines uses AI-powered chatbots to provide flight assistance to customers, improving the efficiency of customer service operations. The chatbot can help customers with various services, including booking tickets, providing real-time flight updates, checking in for flights, and answering questions about baggage policies or flight details.
Food Preparation
Miso Robotics’ “Flippy” is an AI-powered robot that flips burgers and fries food at places like White Castle and Wendy’s.
It is a AI-powered robotic kitchen assistant designed to assist with cooking tasks, particularly grilling and frying, in fast-food restaurants and commercial kitchens. Flippy is one of the most advanced robotic systems in the foodservice industry, aiming to automate repetitive cooking tasks while improving consistency, efficiency, and safety
Pizza Hut is experimenting with AI-driven pizza-making robots for faster, more consistent food preparation. To streamline its delivery business while also saving the planet, Pizza Hut has developed an automated kitchen that operates on a zero-emissions truck.
At the SEMA car show held this week in Las Vegas, the pizza chain and Toyota debuted a pizza factory on wheels. The flatbed of the Tundra PIE Pro is outfitted with a refrigerator, an automated kitchen with a computer-guided robotic arm, a high-speed ventless oven and a box assembly station.
AI Voice Assistants and Inventory & Waste Management
Panera Bread and Taco Bell are testing AI voice assistants for drive-thru orders, reducing human error and speeding up service. Taco Bell’s parent company Yum! Brands recently announced that it plans to expand its use of artificial intelligence voice technology to hundreds more drive-thru locations in the U.S. The fast-food chain has already been experimenting with AI at more than 100 locations in 13 states, and Yum! Brands said it’s found that the technology frees up staff for other tasks and also improves order accuracy. The company also seeks to reduce wait times.
Panera Bread begins testing AI technology in drive-thru lanes with an aim to improve and enhance the guest experience. With support from OpenCity, select Panera bakery-cafes in the greater Rochester, NY area have implemented OpenCity’s proprietary voice AI ordering technology, called “Tori”, for drive-thru orders, with the goal of maximizing efficiency and increasing speed of orders.
Winnow Vision (used in hotels & restaurants) helps chefs track food waste using AI-powered cameras, reducing waste and saving money.
It uses cameras and machine learning algorithms to automatically identify and measure food waste as it’s discarded. By analyzing the types and quantities of waste, it provides insights to help businesses optimize their food production, reduce waste, and save money. This system promotes sustainability while improving efficiency in kitchens.
Zume Pizza used AI to predict demand and reduce food waste by optimizing ingredient ordering. Zume was designed to deliver pizzas to customers in vans, with the food prepared by robots and cooked in GPS-equipped automated ovens. The company secured a patent on cooking during delivery, which included algorithms to predict customer choices. It also planned to work with other firms to provide further robot-prepared food, such as salads and desserts.
AI in Food Delivery & Robotics
One of the major features of the new DoorDash Commerce Platform is its AI phone ordering capabilities. First introduced in 2023, this technology is now being further refined, combining advanced AI with highly skilled agents to provide even better support for restaurant operations.
The goal is to help restaurants manage phone orders efficiently while ensuring customers receive the high-quality service they expect.
Starship Technologies have small AI-powered robots delivering food.
Starship robots are 99% autonomous. They learn with every journey – and they’ve safely completed millions more deliveries than any competitor. These robots deliver hot food, groceries and industrial supplies, using a combination of radars, cameras, sensors and machine learning to identify objects and navigate the world around them.