AI as an expert on your team | AI in business #52

How can AI improve teamwork?

Artificial intelligence can significantly improve the efficiency of a team on many levels. AI as an expert can help:

• find areas to automate – tell ChatGPT how your business works and it will tell you which areas you can automate. By using AI, many routine tasks such as data analysis, report generation, and customer service can be automated, allowing your team to focus on more creative and strategic tasks.
• optimize business processes – Artificial intelligence can help identify areas where work could be done more efficiently,
• improve the performance of individual employees and teams – by using AI as a team expert or personal assistant, tasks can be completed more quickly and efficiently.

Although it’s not worth trusting artificial intelligence to perform responsible tasks on its own, it can greatly improve a company’s efficiency. Let’s look at specific tasks that AI can perform as an expert.

AI as a customer

If you are making a new product or service, or searching for ways to optimize the existing solutions, you can create a reliable test situation with the help of artificial intelligence. Just use ChatGPT or Google Bard to precede the product description with a role and describe what test it takes part in to receive quite convincing comments about the company’s offer.

AI as an expert in creating product descriptions

Every e-commerce owner knows how tedious it can be to describe products. Especially if the store’s offerings change frequently, or if the store sells to multiple countries. It pays to use AI as an expert in creating product descriptions because it will not only be able to create descriptions quickly, but if you ask it to, it will use specific methods that increase sales, such as:

• AIDA — i.e. text structured according to the stages a consumer goes through when making a purchase decision: Attention, Interest, Desire, and Action,
• FAB — it stands for Features, Advantages, and Benefits. It is a sales technique that involves presenting to the customer the features of the product, its advantages over the competition, and the benefits of owning it.

It is worth using tools such as:

• ChatGPT Plus — uses GPT-4, the best text generation model available today, which can create product descriptions in any language and format them according to the store’s needs,
• Jasper — AI tool with pre-built templates that can be used to generate product descriptions,
• Google Bard — is equipped with the ability to attach images, so it can generate product descriptions from photos.

Code generation using artificial intelligence

AI as a programming expert? This is where shop owners should be very cautious unless they are programming experts themselves. Generating code with AI is not only tempting but also very risky. In the hands of an experienced programmer, these tools can speed up software development and enable faster delivery of products and services. But used by an untrained user, they can significantly lengthen the process and create errors that are very difficult to catch.

Source: Internet

Here are the three best AI tools for coding:

• GitHub Copilot — developed by GitHub in collaboration with OpenAI, GitHub Copilot is an AI-based programming assistant that suggests entire lines or blocks of code as you type. It is trained on public code repositories and can understand multiple programming languages and coding styles. It adapts and learns from each programmer’s unique coding style, making it an increasingly useful tool over time,
• Replit GhostWriter — is another influential AI-based coding assistant designed to help developers write efficient, high-quality code. GhostWriter is unique in its ability to complete code in real time as it is written, reducing the time spent writing skeletal code and searching for syntax errors. It is perfectly integrated with Replit’s online code editor, allowing developers to write, run, and debug code in one place,
• Amazon CodeWhisperer — Like GhostWriter, it offers real-time suggestions, covering code fragments or entire functions, thanks to its vast knowledge from billions of lines of code.

Forecasting demand and pricing

Understanding and forecasting demand for products and services is crucial for production planning and inventory management. AI as an expert can provide accurate forecasts by analyzing large amounts of data from various sources.

It is worth using one of the popular tools:

• Pricefx — is a B2C e-commerce price management platform that uses artificial intelligence to optimize prices in real time. It enables personalized pricing for customers, dynamic pricing in response to market changes, and automation of the pricing process,
• Competera — a platform for optimizing retail prices that uses artificial intelligence and machine learning to determine and maintain optimal e-commerce prices. It works in real time, recalculating different price combinations to boost average margins by about 6%,
• Zilliant — is used to manage prices for B2B companies. It offers tools for setting them, updating them, and managing pricing relationships of products. It also allows cascading changes across all pricing modes.

AI as an expert in logistics optimization

In logistics, AI is helping to optimize processes, from planning delivery routes to managing vehicle fleets. These technologies enable more efficient and cost-effective supply chain management. A good example is Locus (https://locus.sh/), a platform that uses machine learning to optimize delivery routes, fleet management, and inventory planning.

Źródło: Locus (https://locus.sh/).

AI as a brainstorming expert

It often happens that during product development, a company needs a one-time consultation with an expert who happens to be unavailable. In such a case, it is also worth trying to cast artificial intelligence in this role. While AI as an expert is not 100% trustworthy and you need to check its advice every time, it can still provide valuable advice and help change perspectives that lead directly to more interesting discussions and suggest new areas of exploration.

How do you build a team that combines humans and AI to leverage the strengths of both?

Integrating AI as an expert into a human team requires understanding and leveraging the unique strengths of both parties. Humans bring creativity, empathy, and the ability for complex critical thinking, while AI brings speed, precision, and the ability to process massive amounts of data. Here are some steps to building a successful hybrid team.

It is critical to train the team to use AI to its full potential. Foster collaboration by encouraging the exchange between human intuition and AI precision. Ensure flexibility and adaptability to new technologies while maintaining ethics and transparency in the use of AI. This synergy can lead to innovative solutions and increased team productivity.

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