Food and beverage producers run some of the most relentless intralogistics in the UK: lines that don't stop, finished pallets that must clear the production wing before they choke it, hygiene zones that don't tolerate fork chatter, and a labour pool that's harder to rebuild every quarter. This illustrative case study — a representative scenario, not a named client — shows how an independent integrator like FlyWei typically pairs autonomous forklifts and AMRs to steady out pallet flow on a UK food and beverage production site.

Illustrative scenario: the operator, scale and outcomes below are a composite drawn from typical UK food and beverage production projects. No real client is named, and any figures shown are realistic capability ranges, not project-specific results.

Operation profile

  • Sector: UK food and beverage production (mid-tier producer; ambient and short-life chilled SKUs).
  • Site: a single production-and-despatch warehouse, typically in the 8,000–18,000 m² band.
  • Shift pattern: 24/5 production with weekend wash-downs; despatch typically 24/6.
  • Throughput band: in the region of 800–2,500 finished pallets per week, plus inbound raw materials, packaging and returnable transit equipment.
  • Aisles and racking: wide-aisle adjustable pallet racking in despatch; some narrow aisle in raw materials.
  • What the operator asked us to solve: end-of-line pallet build-up, agency-driver dependency on nights, and damage to product and racking from manual handling under time pressure.

At-a-glance application snapshot (indicative)

Capability ranges below are typical FlyWei project envelopes, not project-specific results.

  • Truck classes: autonomous counterbalance forklifts (1.4–3 t), autonomous pallet stackers (1.4–2 t), and an autonomous reach truck for higher racking.
  • Lift height: typical pallet positions up to around 6 m for stackers and up to about 10 m for autonomous reach trucks.
  • Travel speed: generally up to 1.5–2.0 m/s on long runs, slowing automatically in mixed-traffic and pedestrian zones.
  • Battery and runtime: lithium iron phosphate (LFP) with opportunity charging that typically sustains continuous multi-shift running.
  • Navigation: SLAM with safety LiDAR — no floor tape, no reflectors, no civils.
  • Safety: functional-safety controllers with certified scanners, audible/visual signalling and emergency stop.
  • Integration: connects to the existing WMS, ERP and line PLC stack through standard interfaces — typically REST, MQTT or OPC UA, with VDA 5050 available where the operator wants an open fleet manager.

The challenge: pallet flow that never quite settles

Food and beverage production isn't really about peak — it's about steadiness. The lines decide the rhythm; intralogistics has to match it. When that match breaks down, the symptoms are familiar:

  • End-of-line congestion. Pallets stack at the line discharge because manual drivers can't pull them away fast enough during a hot SKU window. The line slows or stops.
  • Night-shift labour fragility. Despatch needs steady pallet removal overnight, but the smallest agency-driver shortfall propagates straight back into the next morning's production plan.
  • Damage and write-off. Manual handling in tight finished-goods aisles puts pressure on shrink wrap, primary packaging and rack legs.
  • Hygiene and zoning. Wash-down areas, allergen segregation and chilled-to-ambient transitions make some routes especially error-prone for human drivers under time pressure.
  • Driver retention. Forklift drivers are leaving for less repetitive jobs, and replacements take weeks to certify and bed in.

None of these are step-changes the operator can fix with another agency booking. They need to absorb steady-state demand without absorbing more headcount, and to take the most repetitive moves off the human team.

The solution: a vendor-neutral mixed fleet

FlyWei is an independent UK integrator — not an OEM, not a single-brand reseller. That matters here, because no one manufacturer is best at every job on a food and beverage site. A typical specification for this scenario looks like this:

  • Two to four autonomous counterbalance forklifts moving finished pallets from line discharge to a despatch buffer, or straight to ground-floor racking. The right model depends on pallet weight, ramp gradients in despatch and whether the operator needs a CE-marked truck or a variant for a sister site.
  • Two to six autonomous pallet stackers for in-aisle put-away into low-bay racking and for shuttling between the production wing and despatch.
  • One or two autonomous reach trucks where finished-goods racking exceeds about 6 m.
  • A central fleet manager chosen for the operator's stack — including the option of a VDA 5050 fleet manager so future trucks from a different manufacturer can be added without ripping the controller layer out.

Because we are vendor-neutral, the trucks on the floor can come from more than one manufacturer where that gives a better overall result — for example a high-mast reach truck from one OEM and a compact counterbalance from another, both speaking to a single fleet manager. That is harder to deliver honestly when the integrator is also the OEM.

Integration to the existing stack

The trucks don't replace the WMS — they take orders from it. Typical integration touchpoints:

  • WMS or ERP move requests over REST or MQTT.
  • Line PLC handshakes for end-of-line pallet release.
  • Dock door, conveyor and lift interlocks via OPC UA.
  • Optional VDA 5050 to keep the fleet open to mixed-manufacturer trucks.

How a deployment runs

  1. Free site survey. Our engineers usually start a food and beverage project with a half-day site walk — pallet flow paths, hygiene zoning, dock door scheduling, racking heights, current driver hours, and peak-vs-trough volumes by SKU family.
  2. Simulation. Pallet movements are modelled across a representative two-week period, so the fleet size and mix are sized to steady-state demand, not just to peak.
  3. Phased rollout. Typically begins with one or two trucks on a single closed route (often end-of-line to a despatch buffer), running alongside the existing manual fleet. This is where the trust gets built and the integration points are tuned.
  4. Go-live and scale. Once the closed route is stable, more routes and more trucks are added until the planned fleet is in place.
  5. Service and optimisation. UK-based service, remote monitoring, route tuning and seasonal re-balancing. Trucks can be added or re-tasked as SKUs and shift patterns shift.

Typical results (qualitative and ranged)

Specific numbers vary site by site; the patterns below are what UK food and beverage operators usually see.

  • Smoother end-of-line flow. Pallet build-up at line discharge typically falls, because the trucks pull at a steadier rate than a manual fleet stretched across other tasks.
  • Easier night and weekend cover. A site that previously depended on agency drivers overnight can generally run a leaner human team, redeployed to higher-value tasks such as quality, replenishment and dock supervision.
  • Less product and racking damage. Repeatable approach speeds and certified safety scanners typically reduce knock-and-shrink-wrap damage and rack-leg impacts.
  • Better data. Every pallet move is logged with truck ID, route and time — useful for line balancing, allergen tracing and continuous-improvement reviews.
  • Headcount, redeployed. The labour story is typically about redeployment, not redundancy: experienced drivers retrain into spotter, supervisor and replenishment roles.

What to consider for your own food and beverage site

  • How steady (not peak) is the daily pallet rhythm — and where does it choke first?
  • What proportion of routes are repeatable, closed-loop moves?
  • Are racking and aisle widths fixed, or is there scope to re-lay finished-goods racking before automation goes in?
  • Which hygiene and zoning rules constrain routing (wash-down, allergen segregation, chilled-to-ambient transitions)?
  • What is the existing WMS, ERP and line-PLC stack — and is there appetite for VDA 5050 to keep the fleet open?
  • How would you prefer to fund the project — capex purchase, long-term lease, or robotics-as-a-service?

Where to read more

  • Autonomous forklifts — the driverless forklift, pallet stacker and reach truck classes referenced above.
  • Lifting robots (AMRs) — for goods-to-person, totes and roll-cages alongside pallet work.
  • Controllers — the functional-safety controller layer that drives the trucks.
  • Solutions — by sector and use case.
  • Leasing — long-term lease and robotics-as-a-service options for UK operators.

If you would like to see what this looks like for your own production-and-despatch site, our engineers will walk it with you and write up a costed, vendor-neutral options paper. The site survey is free and carries no obligation — book one and we will bring the right truck-class mix for the work you actually do, from the manufacturers that best fit it.