Logistics is moving fast on automation, and that changes the people you need on a depot floor. Government research notes that sectors like retail and logistics were already actively integrating AI to improve customer insights and streamline functions such as inventory management and supply chains, according to AI adoption research published by GOV.UK. In plain terms: the software that routes stock, tracks loads and flags exceptions is already live in many depots.
That shift is reshaping the shape of the workforce, not just the tools. Projections for AI-related occupations show a net change ranging from roughly 696,000 jobs in one scenario to 1,072,000 in another, with replacement demand rising from 3,077,000 to 3,193,000 jobs across those scenarios, as set out in labour market and skills projections from GOV.UK. Replacement demand matters here: even where roles hold steady, you still need to hire as people move on, which keeps depot recruitment constant.
The entry routes into these jobs are widening too. Apprenticeships have risen from 3% of AI hires in 2020 to 19% in 2025, per the AI Labour Market Survey 2025 published by GOV.UK. For a depot team, that's a signal: you don't have to compete only for finished experts, you can grow operational talent into agent oversight roles.
An agent operations hire supervises the AI systems that run routine depot decisions, and steps in when those systems hit the edge of what they can handle. Think of it as a shift lead for software: the person who watches the automated inbound and outbound flows, checks the exceptions the system surfaces, and makes the call a machine shouldn't.
The day splits into three jobs. First, monitoring: keeping an eye on the dashboards that track stock, routing and load status. Second, intervention: handling the flagged cases, a mis-scanned pallet, a late carrier, a stock count that doesn't reconcile. Third, improvement: feeding patterns back so the workflow gets better, which is the part that stops the role becoming a glorified alarm bell.
This sits on top of real logistics knowledge. The automation handles inventory management and supply chain functions, as GOV.UK's AI adoption research describes, so the hire needs to understand what good looks like in a warehouse before they can judge when the system is wrong. Depot context first, oversight skills second.
Start by writing down the tasks, not the title. List the automated workflows on your site today, then mark which ones the new hire monitors, which they can override, and who they escalate to. A clear task map turns a vague 'ops and AI' brief into a role someone can actually apply for and you can actually assess.
Next, decide your talent source. With apprenticeships climbing from 3% of AI hires in 2020 to 19% in 2025, per the AI Labour Market Survey 2025 from GOV.UK, you have a real choice: hire an experienced operator and train the agent oversight, or bring in an apprentice and build both. For most depots, promoting a strong shift lead and teaching the tools is the faster route.
Then plan for churn before it bites. Because replacement demand across AI-related occupations sits between 3,077,000 and 3,193,000 jobs in the GOV.UK projections, these roles turn over, so document the workflows and build a bench. Finally, test judgement at interview: give someone a flagged exception and ask what they'd do. The right answer shows they understand both the depot and the limits of the software.
Once you've mapped the role, we help you fill it fast. We search a database of 15 million candidates to surface people who match your depot's needs, then rank a shortlist and handle the process end to end. Our recruitment agent manages recruitment end to end for 8% on a successful hire, with no monthly fee and no upfront cost. Tell us what your depot needs today and start building your role with Reed.ai.
