You know the stress of finding the right person for your team. In a busy industry like logistics, you need people who are reliable and honest. One wrong move can lead to lost time, high costs, and a damaged brand. Many companies struggle with this every day. They want to grow, but they are afraid of making a bad hire.
This hiring risk case study looks at how a large logistics group changed its ways. They moved away from old, slow methods. They started using data and automation. By doing this, they lowered their hiring risk by 40%. Here is how they did it and how you can do the same.

Before making a change, this company relied on manual phone calls for references. This is a common part of many recruitment success stories, but it has many flaws. The hiring team spent hours every week trying to reach former bosses. They would leave voicemails and wait for days. This slowed down the whole hiring process.
Because they were in a hurry, they often took shortcuts. They might only speak to one person. They might not check if that person was actually a manager. This created a big opening for fraud. Candidates who wanted to skip the rules would give the phone numbers of their friends. Without a way to verify the caller, the company was hiring people based on lies.
Manual checks are not just slow: they are also biased. When you talk to someone on the phone, your "gut feeling" takes over. You might like the person’s voice or their style. This is not evidence-based HR. It is just a guess.
Here are the main reasons the old way failed:
The company realized they needed a better way to look at reducing hiring risk before they signed any new contracts.
The company decided to switch to Refhub. This move shifted them from manual tasks to an automated system. Instead of making phone calls, they sent out digital requests. This changed everything for their recruitment team.
The new system used fraud detection technology. When a reference is submitted, the system looks at the digital footprint of the person giving the feedback. It checks things like IP addresses and device IDs. If a candidate tries to provide their own reference from the same computer, the system flags it. This stopped dishonest people from entering the company.
The team also started using standardized questions. This meant they could compare candidates fairly. They were no longer relying on a recruiter’s mood or a quick chat. They were using real data to make choices.
The impact was fast and clear. Within the first six months, the company saw a 40% reduction in their hiring risk. This number comes from a few different areas:
By catching red flags early, they avoided the high cost of replacing a bad hire. They also saved their managers from the headache of dealing with poor performance. This is why many recruitment success stories now focus on the power of technology.
When you look at the ROI of reference checking, you have to look at more than just the cost of the software. You have to look at the money you save. A bad hire can cost a company thousands of dollars in lost productivity and new search fees.
By using Refhub, the logistics company saved money in three ways:
Using an evidence-based HR approach turned their hiring from a gamble into a science.
How does automated fraud detection work? The system looks at the digital details of the person providing the reference. It checks if the location or the device matches the candidate. If things look suspicious, the hiring team gets an alert right away.
Is it hard to switch from manual calls to an automated system? No. Most teams find it very easy. You simply enter the candidate's details, and the system handles the rest. It sends reminders and collects the data in a clean report.
Can candidates still cheat the system? It is much harder to cheat an automated system than a human. Humans can be fooled by a good actor on the phone. Computers look at hard data that is very difficult to fake.
Does this work for all industries? Yes. While this hiring risk case study focused on logistics, the same rules apply to retail, healthcare, and office work. Any job that requires trust needs good checks.
Reducing the chance of a bad hire is about more than just saving money. It is about protecting your company culture. When you hire the right people, everyone is happier. Your current staff does not have to pick up the slack for a poor performer. Your managers can focus on growth instead of fixing mistakes.
The shift toward data-driven hiring is happening everywhere. Companies that stick to old, manual ways will fall behind. They will keep hiring people who don't fit, and they will keep losing money. By following the example in this hiring risk case study, you can build a team that is strong, honest, and ready for the future.
You do not have to settle for "gut feelings" and slow phone calls. You can take control of your recruitment process today. Refhub gives you the tools to find the truth about your candidates quickly.
Stop worrying about fake references and bad hires. Start using a system that works as hard as you do. Join the many businesses that have found success by making the switch to smart, automated checks.
Contact Refhub today to see how we can help you lower your risks and build a better team.