Under no circumstances would you call me a technophile true believer. I still roll with an iPhone X and there’s no immediate plan to trade up. That said, I believe in keeping eyes and ears open to tech advancements that are potentially useful and also affordable, to figure out what I might want to integrate into my life or business at some point.
In February 2018, I wrote about how Machine Learning and AI could eventually be useful to Freelancers and small business owners, even though the technology was impractical for small operators to adopt at the time. In October 2018, I wrote about how Freelancers who win a complex, big money contract may want to suggest to the client that a Blockchain Smart Contract be created, to both guarantee transparency and ensure that all expectations will be satisfied.
As those and other tech developments have taken hold, I think we all might benefit from taking another look at how one can improve operational efficiencies in a business and consider what tools might be successfully incorporated into your organization to achieve those goal, even if you’re a one-person shop. Having the ability to interpret and use actionable data is worth money.
No need to code
No code (and low-code) platforms are replacing programming languages that you (honestly!) may not want to learn with simple drag and drop processes. In other words, where not long ago it required a team of engineers to build whatever software you needed, civilians with home computers and mid-level tech skills can now essentially create and customize software to support their cross-functional objectives—-sales, marketing, operations, finance, HR, administrative.
With off-the-rack widgets available on website building and hosting platforms such as WordPress, you can upload a chat bot to your site and thereby make it fast and easy for prospects to obtain basic info about your company that might lead to a sale. I call that worthwhile.
Experts recommend that Freelancers and other small businesses approach AI and other cutting edge tech resources as potential solutions for small, time-saving and data- analyzing tasks and projects such as, for example, intelligent lead scoring. Because leads can be generated from multiple channels—-website or social media, blog or newsletter, webinar or podcast, or business cards handed out. But when you’ve received numerous leads, the challenge is deciding which ones have the greatest potential to produce a sale?
The right tech capability will reveal behavioral patterns in your various lead sources and rank them according to their probability of turning into sales. A spreadsheet is created with your leads sorted, from the hottest to the coldest, revealing which prospects to focus on because they’re most likely to buy. Big businesses have used AI to do just that for several years and proved that AI can increase sales revenue.
Best platform — easy integration
First, find a platform that syncs with the Customer Relationship Management software you use, if you use it. Easy integration with popular spreadsheet software, such as Excel, is another important consideration. If leadgen data will be sourced from multiple places, your chosen platform should be able to merge it.
Second, your platform should have a search mechanism that will identify the best analytics model to use based on the data and the prediction required. You should not need to know their way around data science to run your model. The platform should just deliver what works best.
Finally, the platform should be able to monitor model performance over time and adapt as the business environment shifts and new data becomes available.
Not all no-code AI platforms are made the same, and the right tool depends on a company’s business needs. Solutions range from just a few dollars a month, affordable for many Freelancers and small business owners.
Finding the right one for a particular company may require some trial and error. The good news is that the best platforms are open, which means that anyone can try them to see how they work. In other words, users can take the platforms for test drives on relevant tasks and see how they perform.
Verify that the AI software is so simple to use that non-technical people will be able to adopt it into their workflows. Check the onboarding processes of various platforms. If working with AI software requires anything beyond basic tech skills, move on to another option.
Thanks for reading,
Kim
Image: Robots C-3PO (l) and R2D2 from the Star Wars movie franchise (created, produced and directed by George Lucas)