5 AI Challenges for Multi-Location Marketers & How to Solve Them

Sponsored content by SOCi.

 

Although artificial intelligence (AI) can help marketing strategies become more efficient and effective, marketers face common challenges when leveraging the technology. Especially those with multiple business locations. SOCi's research found that 44% of marketers believe introducing new AI tools tends to cause confusion.

Let's get into the challenges and their solutions. 

1. Integration with Existing Systems 

One of the most common challenges marketers face when getting started with AI is if and how the technology will integrate with existing solutions. Correctly integrating new AI can be complex, often requiring significant technical expertise and resources. This delays the implementation and adoption.

Waiting to use AI altogether presents a separate challenge — falling behind the competition. 

Solution: Look for an AI-driven and consolidated solution that allows you to manage multiple aspects of your multi-location marketing strategy. 

 2. Lack of Quality Data 

A fragmented tech stack can also lead to concerns around data. Marketers may also question the quality and credibility of data when using AI. 

Lack of information around these questions can present a challenge, preventing marketers from using AI. 

Solution: Find a tool that allows you to consolidate your MarTech stack while adding an AI layer over different areas of your strategy. This aims to harmonize your data and processes, creating a solid data foundation. 

3. Understanding and Trusting AI Outputs 

Another common challenge around AI? Marketers often don’t understand or trust AI outputs. At times, generative AI tools can provide unexpected or inaccurate information, leading to skepticism and underutilization. 

Solution: Human oversight is always needed when using AI. While AI is a great technology to help increase efficiency and optimize output, a human always needs to double-check its work. 

Incorporating human oversight into your plans when using AI will help prevent mistakes and make your team feel more comfortable leveraging it. 

4. Privacy and Compliance Concerns 

According to a recent survey, 57% of marketers' most significant concerns about using AI were around data security and privacy. AI often raises privacy and compliance concerns related to data handling and consumer privacy regulations, requiring careful navigation to avoid legal and ethical issues.

Failure to comply with regulations can result in:

  • Hefty fines
  • Legal actions
  • Damage to brand reputation

Solution: Implement transparent data collection and processing practices, obtaining explicit consent from consumers for data usage, and prioritizing data security, as seen below. 

5. Confidence Leveraging AI 

Last but not least, confidence and familiarity with AI are challenges marketers face when using the technology. Seventy percent of marketers feel inundated by the current pace of AI development and its incorporation into their marketing strategies.

Navigating the ever-evolving landscape of AI and staying updated on its constant developments might make integrating AI into marketing strategies seem overwhelming and can often become a roadblock. 

Solution: Equip marketing teams with the tools and knowledge to feel confident leveraging AI. Numerous resources and courses are available to train those interested in understanding how to use AI in marketing. 

Find the Right AI Solution for Your Multi-Location Brand 

Arming yourself with knowledge about what challenges you may face when incorporating AI into your marketing strategies and how to solve them will give you a leg up on the competition. It's time to find the right AI solution for your multi-location brand. 

Look no further than SOCi. SOCi is the CoMarketing Cloud for multi-location enterprises. Our AI automation layer, SOCi Genius, leverages advanced data science and best-in-class generative AI to function as a data scientist and marketer for each location. 

SOCi has a robust data privacy and security approach, a focus on AI accuracy, and a dedication to customer support and training. 

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