Research, Consulting, Building and Implementing Workforce-as-a-Service for the private sector.
Retail · Use case
Back-of-store logistics
Moving totes and goods between back room and sales floor.
Technical visibilityBack-of-store logistics
Select a point on the wheel.Back-of-store logistics sits at the center. Benchmark, ROI, Business case, Reference architecture and Example machines open here.
Benchmark · Technical visibility
How we measure back-of-store logistics
Every claim is tied to the mission, the environment and test evidence. These are the indicators we capture, each with its denominator and conditions.
- Autonomous mission completion · rounds or tasks finished without help
- Interventions per 100 missions · how often a person has to step in
- Mean time between assistance
- Resource endurance · missions per charge in structured indoor conditions
- Constraint compliance · zones, speeds and safety limits respected
Targets are agreed per site during the WaaS Assessment, never promised in general.
Open the Resource Library →ROI · Economic visibility
Where the return comes from
We model return from your own baseline, not from generic averages. For back-of-store logistics the levers are:
- Labor hours redeployed from repetitive rounds to higher-value work
- Exposure avoided · fewer people in hazardous or monotonous tasks
- Coverage and consistency · more frequent, evidence-backed cycles
- Avoided downtime · issues caught earlier
We do not publish generic ROI figures. Your WaaS Assessment produces yours.
Model my ROI →Business case · Economic visibility
Three ways to put it to work
The same use case can be commercialized in the way that fits your balance sheet.
Subscribe (WaaS)We deploy, operate and sustain · recurring fee
RentMachines for a defined period · no ownership
BuyOwn the machines · software licensing and sustainment optional
Pricing is provided in each proposal, based on scope and site conditions.
Build my business case →Reference architecture · Technical visibility
How back-of-store logistics is built
A reference stack, adapted to structured indoor environments and your systems.
MachineSelected for the mission and environment
Perception & autonomySensing, navigation and task logic
Connectivity & edgeLocal compute, network, offline behavior
IntegrationYour systems, data and workflows
SustainmentMonitoring, maintenance, field response
Informed by ISO 8373:2021 and IEEE 1872.2-2021. Not a certification.
Example machines
Machines for back-of-store logistics
Starting points for this use case. The final selection follows the assessment.