Client management has always been a thorn in any small business owner’s side – on one hand, it is vital if you want to learn about your clients and advertise to them effectively. On the other hand, it is extremely difficult and time-consuming to actually manage your clients and keep up to date with the info. That’s why we’ve scoured for tips that will help you manage your clients much easier and save yourself a lot of headache in the process.
Letting Artificial Intelligence Do Your Job
Advances in technology and AI have been truly astounding over the past few years – one after another, neural networks, GANs, and deep learning made things like self-driving cars, artificial Jeopardy players, and sound recognition much more practical and viable.
One overlooked area that got dominated by AI, however, is management, especially in the areas of data science and machine learning. We now have algorithms that can analyze your customers, tell you all the info you need about them, and even give you ideas on how you can appeal to more customers. We have algorithms that can predict how useful a marketing campaign would be based on your previous marketing campaign data, and lastly, we have machine learning techniques that will even predict how much your company will grow and how many resources you’ll need for the following season.
What you can do to manage your clients are almost limitless with enterprise management software– if you know how to use it, you’ll have a much easier and more pleasant time. The only downside would be that this doesn’t work particularly well for very small companies that don’t have enough clients for the algorithms to predict from.
Outsourcing Client Management
While some parts of managing your clients can’t be outsourced (collecting the data, interaction with your clients, etc.), you can outsource the most important parts of client management that are generally considered time-sinks.
Data alone won’t help you when you are managing your clients – the crucial part is how you make sense of that data. As the affluent Von Neumann said, “With four parameters I can fit an elephant, and with five I can make him wiggle his trunk.” This means that if you randomly interpret the data, you can pretty much infer anything you want from it.
That’s why outsourcing will not only save you time, but it is also crucial if you don’t have the necessary background in math and statistics. An experienced data scientist would only need an hour or two to analyze your clients’ data and help you come up with a strategy that is grounded in reality. The long-term strategies you can come up with thanks to this method will ensure your business keeps prospering.
Using Business Management Software
Now, both of the above solutions aren’t really for small business owners. AI needs a lot of data, and outsourcing isn’t usually cheap. That’s where management software comes in – they’ve been helping small business owners for a while now.
Whether you run a plumbing service and want plumbing software, or a fast food restaurant, or a tailoring store – you can find a software solution that is tailored to your needs.
Business management software makes data collection and simple data analyses much faster and simpler – they’ll also organize your clients much better helping you see the bigger picture.
This is an article provided by our partners network. It might not necessarily reflect the views or opinions of our editorial team and management.
Founder Dinis Guarda
IntelligentHQ Your New Business Network.
IntelligentHQ is a Business network and an expert source for finance, capital markets and intelligence for thousands of global business professionals, startups, and companies.
We exist at the point of intersection between technology, social media, finance and innovation.
IntelligentHQ leverages innovation and scale of social digital technology, analytics, news and distribution to create an unparalleled, full digital medium and social business network spectrum.
IntelligentHQ is working hard, to become a trusted, and indispensable source of business news and analytics, within financial services and its associated supply chains and ecosystems.