Results achieved with MIXMOVE HUB OS
Success story
DHL
DHL Supply Chain

How DHL achieved 137% hub productivity gains — and made MIXMOVE the standard across every UK & Ireland customer contract

Industry
Transport & Logistics (3PL)
Geography
UK & Ireland
Product deployed
MIXMOVE HUB OS
First deployment
Bristol Regional Operating Center
How DHL achieved 137% hub productivity gains — and made MIXMOVE the standard across every UK & Ireland customer contract
MIXMOVE HUB OS
137%
Hub productivity increase
80%
Reduction in operator errors
Results achieved with MIXMOVE HUB OS
137%
Hub productivity increase
80%
Reduction in operator errors
50%
Reduction in hub space required
15%
Reduction in distance travelled
137%
Hub productivity increase
80%
Reduction in operator errors
50%
Reduction in hub space required
15%
Reduction in distance travelled
90%+
Long-haul truck fill rate, up from 35–40%
35%
Transport cost reduction (DHL/3M operation)
#1
Only recommended cross-docking solution, DHL UK & Ireland
12wk
Go-live timeline per hub
02

Executive summary

01
The challenge

DHL Supply Chain UK & Ireland had no dedicated cross-docking solution. Hub operations ran on manual coordination and legacy systems not designed for high-velocity, multi-customer environments. Error rates were high, floor space was underused, and DHL had no standardised way to demonstrate performance to its customers.

02
The solution

After a formal market evaluation, DHL selected MIXMOVE HUB OS as its preferred and only recommended cross-docking solution for UK & Ireland. Deployed first at the Bristol Regional Operating Center, MIXMOVE HUB OS connects to DHL’s existing WMS and ERP without replacing them — orchestrating inbound flows, directing operators via handheld devices, and delivering real-time hub performance data.

03
Results — confirmed
  • Up to 137% hub productivity increase — the primary operational improvement from intelligent execution
  • Up to 80% reduction in operator errors — a consequence of automated lane guidance and SSCC scanning
  • Up to 50% reduction in hub space required — a consequence of dynamic lane assignment replacing static layouts
  • Up to 15% reduction in distance travelled — a consequence of consolidated, optimised outbound loads
  • MIXMOVE designated as DHL’s sole recommended cross-docking platform for all UK & Ireland new and renewal contracts
03

Customer overview

DHL Supply Chain is the contract logistics division of Deutsche Post DHL Group — the world’s largest logistics company, operating in more than 220 countries and territories. DHL Supply Chain UK & Ireland manages a network of warehousing, distribution, cross-docking, and hub operations serving major customers across retail, FMCG, electronics, healthcare, and e-commerce.

For DHL Supply Chain UK & Ireland, cross-docking hub operations are central to its service proposition — enabling customers to move goods rapidly between inbound and outbound flows without the cost and delay of traditional warehousing. Hub operational performance directly affects the SLAs DHL makes with its customers and the profitability of the contracts it holds.

As DHL’s customer base increasingly demands real-time operational transparency, standardised service delivery, and measurable KPIs, the absence of a purpose-built hub management system had become a structural constraint on both performance and commercial growth.

04
The challenge

No standard for cross-docking across the network

DHL Supply Chain UK & Ireland operated its cross-docking hubs without a dedicated solution. Execution relied on operator experience, manual coordination, and the indirect use of systems built for other purposes — none designed for the specific demands of high-velocity, multi-customer cross-docking.

On the floor, manual lane assignments created poor space utilisation and congestion at peak. Inbound flows were uncoordinated, with no advance shipment notification processing. Supervisors had no real-time view of hub activity, making exception handling reactive. Error rates were high and directly attributable to the absence of guided execution.

Commercially, DHL could not offer the kind of standardised, measurable hub performance that major accounts — particularly Fortune 500 shippers — increasingly required. No unified KPI framework existed. No consistent visibility into hub events could be shared with customers. This was becoming a direct barrier to winning and retaining contracts with sophisticated shippers.

Five specific challenges driving the decision
Fragmented hub execution
No standardised process across customer operations within the same hub, creating inconsistency and increasing risk of errors and misrouted goods
Manual lane assignment
Pallet and cage allocation was operator-dependent, leading to poor floor space utilisation and congestion during peak inbound volumes
Zero inbound predictability
No advance shipment notification processing, so hub teams could not plan labour or space before trucks arrived
No performance visibility
DHL lacked the ability to capture, aggregate, and report hub KPIs consistently — for internal management or customer-facing reporting
Commercial limitation
The inability to offer a standardised, digitally-managed hub operation was becoming a barrier when competing for new contracts and renewing existing ones with sophisticated shippers

DHL conducted a formal market evaluation assessing functional richness, configurability, integration capability, and the ability to operate across a multi-customer hub environment. MIXMOVE was selected as the most functionally rich option in the market.

05
The solution

MIXMOVE HUB OS: execution intelligence deployed at Bristol ROC

MIXMOVE deployed MIXMOVE HUB OS at DHL Supply Chain UK & Ireland’s Bristol Regional Operating Center — the first hub in a planned network-wide rollout. Bristol ROC is one of DHL’s largest UK cross-docking operations, handling a diverse mix of customer flows across electronics, FMCG, and e-commerce.

MIXMOVE HUB OS was implemented as an intelligent cross-docking execution layer, connecting to DHL’s existing WMS and ERP without requiring system replacement. The platform ingests inbound flow data, generates cross-docking execution plans, and translates those plans into operator guidance via handheld devices on the shop floor — directing each operator to the correct lane, sequence, and task at every stage.

For DHL’s joint operation with 3M, MIXMOVE introduced the intelligent reconstruction model: rather than processing customer-specific factory pallets running at 35–40% truck capacity, goods are broken down and rebuilt into destination-optimised, full-height mixed pallets at the hub. Trucks that previously ran at 35–40% fill now regularly achieve 90%+ fill rates on long-haul and final-mile lanes.

The execution model: how it works

  1. Order-specific cartons are created at the shipper’s origin, each identified with a unique SSCC barcode for end-to-end traceability
  2. Full-height mixed pallets are built at origin — combining cartons from multiple customer orders to maximise load density
  3. Fully-loaded trucks transport these pallets to DHL’s order reconstruction hubs at 90%+ fill rates
  4. At each hub, MIXMOVE HUB OS manages reconstruction: scanning each carton individually, matching to the correct delivery order, directing operators to the correct outbound lane
  5. Final-mile delivery is executed from destination-optimised outbound loads — reducing vehicles required and improving delivery accuracy
06
Causal chain

Why hub execution intelligence is the primary result — not one of several

The relationship between the headline results is causal, not parallel.
primary
Hub execution intelligence
Intelligent inbound planning, dynamic lane assignment, and SSCC-guided operator tasks — the primary operational improvement MIXMOVE HUB OS delivers.
consequence
80%
Error reduction
SSCC scanning and step-by-step operator guidance remove the operator dependency that was causing errors.
consequence
50%
Hub space reduction
Dynamic lane assignment replaces static layouts, allowing the same floor to process significantly more volume.
consequence
15%
Distance reduction
Consolidated outbound loads mean fewer transport movements per unit of volume delivered.
outcome
137%
Hub productivity gain
The combined outcome of all three operational improvements above — more throughput, fewer errors, and better space utilisation from the same workforce.
primary
Hub execution intelligence
Intelligent inbound planning, dynamic lane assignment, and SSCC-guided operator tasks — the primary operational improvement MIXMOVE HUB OS delivers.
consequence
80%
Error reduction
SSCC scanning and step-by-step operator guidance remove the operator dependency that was causing errors.
consequence
50%
Hub space reduction
Dynamic lane assignment replaces static layouts, allowing the same floor to process significantly more volume.
consequence
15%
Distance reduction
Consolidated outbound loads mean fewer transport movements per unit of volume delivered.
outcome
137%
Hub productivity gain
The combined outcome of all three operational improvements above — more throughput, fewer errors, and better space utilisation from the same workforce.
primary
Hub execution intelligence
Intelligent inbound planning, dynamic lane assignment, and SSCC-guided operator tasks — the primary operational improvement MIXMOVE HUB OS delivers.
consequence
80%
Error reduction
SSCC scanning and step-by-step operator guidance remove the operator dependency that was causing errors.
consequence
50%
Hub space reduction
Dynamic lane assignment replaces static layouts, allowing the same floor to process significantly more volume.
consequence
15%
Distance reduction
Consolidated outbound loads mean fewer transport movements per unit of volume delivered.
outcome
137%
Hub productivity gain
The combined outcome of all three operational improvements above — more throughput, fewer errors, and better space utilisation from the same workforce.

Presenting all four as parallel results would misrepresent how MIXMOVE HUB OS creates value. The headline is hub execution intelligence. The rest follows from it.

07
Capabilities

Key capabilities deployed

Inbound predictability & ASN processing
Intelligent cross-docking execution planning
Handheld operator guidance (Android devices)
Dynamic lane assignment
Parcel-level SSCC scanning & reconstruction
Automated carrier integration & outbound planning
Digital proof of delivery (PoD)
Integration with existing WMS/ERP (no replacement)

All capabilities listed are deployed and delivering results at Bristol ROC.

08

Implementation & approach

MIXMOVE’s deployment model is built on a core principle: no rip-and-replace. DHL’s existing WMS and ERP infrastructure remained in place. MIXMOVE HUB OS was implemented as an intelligent orchestration layer connecting to those systems via API — ingesting inbound data, generating execution logic, and returning event data without disrupting live operations.

The Bristol ROC deployment served as the technical and operational blueprint for the planned UK & Ireland network rollout. Three stakeholder groups shaped the implementation: DHL’s IT team for system integration; DHL’s operations management for execution model design and KPI configuration; and shop-floor teams for operator guidance design and go-live support. MIXMOVE’s logistics specialists managed integration, testing, and business case validation throughout.

Prior to deployment, MIXMOVE conducted a detailed business case assessment with DHL, modelling productivity, space, and error reduction outcomes against Bristol ROC’s actual operational baselines. This assessment gave DHL’s senior leadership the evidence base required to designate MIXMOVE as the preferred solution for the UK & Ireland network and to begin jointly approaching customer accounts.

Commercial model: preferred vendor status and joint go-to-market

DHL’s decision to designate MIXMOVE as its preferred and only recommended cross-docking solution for UK & Ireland customer accounts carries material commercial implications. On new contract negotiations and renewals, DHL’s teams now propose MIXMOVE HUB OS as the standard operational platform — enabling both DHL and its customers to benefit from the productivity, visibility, and performance standardisation the platform delivers.

MIXMOVE and DHL have developed a joint approach to identifying and approaching prospective customer accounts in sectors including electronics, FMCG, and e-commerce. This transforms the commercial relationship from a software vendor arrangement into a joint market development programme. Each new account that deploys MIXMOVE further strengthens the performance benchmarking dataset and DHL’s competitive position.

09
Results & impact

What the deployment has delivered

Area
Before
After
Hub productivity
Before
Baseline — limited by manual coordination and no execution guidance
After
Up to 137% increase using the same workforce and floor space
Operator error rate
Before
High — manual lane assignment, no inbound scan capability
After
Up to 80% reduction through automated guidance and SSCC scanning
Hub space utilisation
Before
Inefficient — static lane assignments, congestion at peak volumes
After
Up to 50% reduction in space required via dynamic lane assignment
Distance travelled
Before
High — multiple part-loaded transport movements per customer
After
Up to 15% reduction through consolidated, optimised outbound loads
Truck fill rate
Before
35–40% average — customer-specific pallets, non-stackable
After
90%+ on long-haul lanes with mixed-pallet reconstruction model
Transport cost
Before
Elevated by empty space and duplicate movements
After
Up to 35% reduction (DHL/3M joint operation)
KPI reporting
Before
No standardised data; retrospective and manually assembled
After
Operational events captured per hub
Vendor status
Before
No standard; each hub operated independently
After
MIXMOVE designated sole recommended solution for all UK & Ireland accounts
  • Hub productivity at Bristol ROC increased by up to 137% — processing significantly more volume through the same facility, with the same headcount, through intelligent execution planning and guided operator tasks
  • Operator errors fell by up to 80%, driven by SSCC barcode scanning at inbound, automated lane assignment, and step-by-step task guidance that removes dependency on individual operator experience
  • Hub space requirements reduced by up to 50% through dynamic lane assignment and flow-based space utilisation — allowing DHL to handle higher volumes without facility expansion
  • Total distance travelled reduced by up to 15% through consolidated outbound loads and optimised routing
  • Truck fill rates on the DHL/3M joint operation lifted from 35–40% to 90%+ through the mixed-pallet reconstruction model
  • Transport costs on the DHL/3M joint operation reduced by up to 35%
  • Early inbound discrepancy capture through SSCC scanning reduces downstream disputes, re-handling costs, and customer claims — improving margin on affected contracts
10

Customer voice

In the UK & Ireland, DHL conducted an exercise to select a preferred cross-docking solution as we didn’t have one. The most functionally rich solution was MIXMOVE.

DHL
Antony Cowlishaw
Head of IT
DHL
11
Strategic value

What the deployment proves

DHL’s designation of MIXMOVE as its preferred and only recommended cross-docking solution for UK & Ireland is more than a procurement outcome. The world’s largest logistics company ran a formal competitive evaluation and concluded that no other solution matched MIXMOVE HUB OS for functional depth. That conclusion now shapes how DHL competes for and manages customer contracts across the entire UK & Ireland network.

The Bristol ROC deployment demonstrates that the productivity, error, and space gains attributed to MIXMOVE HUB OS are achievable within a 12-week go-live timeline, without disrupting live operations, and without replacing existing infrastructure. That combination — speed of deployment, operational impact, and zero rip-and-replace — is what makes the preferred vendor designation commercially significant beyond a single hub.

Why the broader market should take note
Fragmented hub execution
No standardised process across customer operations within the same hub, creating inconsistency and increasing risk of errors and misrouted goods
Manual lane assignment
Pallet and cage allocation was operator-dependent, leading to poor floor space utilisation and congestion during peak inbound volumes
Zero inbound predictability
No advance shipment notification processing, so hub teams could not plan labour or space before trucks arrived
No performance visibility
DHL lacked the ability to capture, aggregate, and report hub KPIs consistently — for internal management or customer-facing reporting
Commercial limitation
The inability to offer a standardised, digitally-managed hub operation was becoming a barrier when competing for new contracts and renewing existing ones with sophisticated shippers
Success Stories
/
DHL Supply Chain

How DHL achieved 137% hub productivity gains — and made MIXMOVE the standard across every UK & Ireland customer contract

Success story image
Company
DHL Supply Chain
Industry
Location
UK & Ireland
Solution
MIXMOVE HUB OS

The context

DHL Supply Chain is the contract logistics division of Deutsche Post DHL Group — the world’s largest logistics company, operating in more than 220 countries and territories. DHL Supply Chain UK & Ireland manages a network of warehousing, distribution, cross-docking, and hub operations serving major customers across retail, FMCG, electronics, healthcare, and e-commerce.

For DHL Supply Chain UK & Ireland, cross-docking hub operations are central to its service proposition — enabling customers to move goods rapidly between inbound and outbound flows without the cost and delay of traditional warehousing. Hub operational performance directly affects the SLAs DHL makes with its customers and the profitability of the contracts it holds.

As DHL’s customer base increasingly demands real-time operational transparency, standardised service delivery, and measurable KPIs, the absence of a purpose-built hub management system had become a structural constraint on both performance and commercial growth.

The challenges

DHL Supply Chain UK & Ireland operated its cross-docking hubs without a dedicated solution. Execution relied on operator experience, manual coordination, and the indirect use of systems built for other purposes — none designed for the specific demands of high-velocity, multi-customer cross-docking.

On the floor, manual lane assignments created poor space utilisation and congestion at peak. Inbound flows were uncoordinated, with no advance shipment notification processing. Supervisors had no real-time view of hub activity, making exception handling reactive. Error rates were high and directly attributable to the absence of guided execution.

Commercially, DHL could not offer the kind of standardised, measurable hub performance that major accounts — particularly Fortune 500 shippers — increasingly required. No unified KPI framework existed. No consistent visibility into hub events could be shared with customers. This was becoming a direct barrier to winning and retaining contracts with sophisticated shippers.

In the UK & Ireland, DHL conducted an exercise to select a preferred cross-docking solution as we didn’t have one. The most functionally rich solution was MIXMOVE.
Antony Cowlishaw
Head of IT

Our solution

MIXMOVE deployed MIXMOVE HUB OS at DHL Supply Chain UK & Ireland’s Bristol Regional Operating Center — the first hub in a planned network-wide rollout. Bristol ROC is one of DHL’s largest UK cross-docking operations, handling a diverse mix of customer flows across electronics, FMCG, and e-commerce.

MIXMOVE HUB OS was implemented as an intelligent cross-docking execution layer, connecting to DHL’s existing WMS and ERP without requiring system replacement. The platform ingests inbound flow data, generates cross-docking execution plans, and translates those plans into operator guidance via handheld devices on the shop floor — directing each operator to the correct lane, sequence, and task at every stage.

For DHL’s joint operation with 3M, MIXMOVE introduced the intelligent reconstruction model: rather than processing customer-specific factory pallets running at 35–40% truck capacity, goods are broken down and rebuilt into destination-optimised, full-height mixed pallets at the hub. Trucks that previously ran at 35–40% fill now regularly achieve 90%+ fill rates on long-haul and final-mile lanes.

The execution model: how it works

  1. Order-specific cartons are created at the shipper’s origin, each identified with a unique SSCC barcode for end-to-end traceability
  2. Full-height mixed pallets are built at origin — combining cartons from multiple customer orders to maximise load density
  3. Fully-loaded trucks transport these pallets to DHL’s order reconstruction hubs at 90%+ fill rates
  4. At each hub, MIXMOVE HUB OS manages reconstruction: scanning each carton individually, matching to the correct delivery order, directing operators to the correct outbound lane
  5. Final-mile delivery is executed from destination-optimised outbound loads — reducing vehicles required and improving delivery accuracy

Ready to optimise your logistics network?

Turn your logistics network into a competitive advantage. TMS, WMS, ERP vendors, cloud providers and integration specialists that help us connect diverse systems into a single orchestration layer.