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It’s not just the general public that spiraling energy bills and cost-of-living increases have affected; many businesses too have had to cut their cloths accordingly to ensure that they survive through this tricky financial period. Factory-based businesses in particular will notice a surge in their utility bills, while almost all companies will take at least a slight hit as consumers become more cautious with their money. Whilst B2C firms will inevitably notice this first, their B2B compatriots may well feel the effect of this soon with their customer-facing clients being forced to hike their own prices up.
All of this financial doom and gloom wouldn’t usually inspire business owners to invest more money into their businesses, but as a wise old man once said – those who buy an umbrella before it rains, stay dry.
Indeed, investing in the right tech that will save you money in the long run, could be an absolute life saver in these uncertain economic times. With the lightning-fast pace of technological progress though, it can be difficult to ascertain which new products are gimmicks, and which are truly worth having such as software for enterprise architecture or nonprofit insurance coverage. As ever, ask yourself how any new service will save your company money. If the answer is too vague or nebulous, move on. With that in mind, we’ve compiled a short list of new tech services that have obvious and clear financial benefits for businesses. Investing in any of these for your company could well be one of the wisest decisions you make.
Machine vision learning for QC measures
Businesses run on reputations. Even if you produce a budget product, consumers still want to receive value for money. That’s why so much money is spent on quality control each year.
Your QC officer, (or team for larger businesses) will scour over your product to check for mistakes or inconsistencies, and hopefully catch any defective items before they leave your premises. The truth is though, that humans are fallible, and can’t be expected to concentrate for a full working day. Studies suggest that we struggle to concentrate for more than 90 minutes without losing focus and needing a 15 minute break. Factor in any external drama from families, relationships and other issues, and you can probably slash that 90 minutes quite significantly.
This is where machine vision learning can really come into its own. By learning what a perfect product should look like, it can easily flag up any issues that it comes across, saving your firm money and time dealing with returns and complaints. Click here to check out even more ways that machine vision imaging can help your business.
Effortlessly filter through a slew of CVs with recruitment software
If your business depends on contractors, temporary workers, or just employs a large amount of people, you’ll know what a headache recruitment can be. HR departments can spend hours and even days going through hopeful CVs, many of which don’t even fit the most basic criteria of the role their authors are applying for.
Specialist recruitment software can take the strain out of the recruitment process by automatically filtering out any CVs that don’t mention words that you specifically want to see mentioned. Need somebody with a particular qualification or skill? Set up your software to only show you those that list these in their application. This can not only save you time during recruitment, but also provide you with a much better chance of hiring the perfect candidate afterwards.
Save money by streamlining your workforce
Even with just the two examples above, you may find that you could easily get by with fewer people in your HR team, or without a QC officer altogether.
The savings on just one employee’s wages can be considerable over the course of their career, and when added to pension payments and other benefits, can make a switch to a technological alternative a no-brainer. Beyond saving on wages, human workers are more prone to mistakes, and possible legal action should anything go wrong, things that are a much less likely when utilising purpose-built software and machines.
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