Decision Intelligence for Intralogistics Automation

Autonomous robots move goods. We map where it moves your needle

Convert elusive intralogistics signals into clear operational insight, right-fit automation paths & qualified vendor matches — without the noise of marketing claims or vendor rhetoric

Start your Assessment
Our Approach

Neither operator
nor vendor.
The connection
between.

With Automatisor, Warehouse operators assess operations, diagnose needs, & discover right-fit solutions. Solution providers are vetted & matched with a genuinely fit site & a qualified need.

  • Operator data, not marketing claims. Payback periods, cost-per-job, and operational gain projections are custom built for each facility using real-world data — not from guesstimates or best-case deployments vendors choose to publish.
  • No vendor affiliation. Our operational assessments and recommendations are neutral and vendor-independent. We will tell you when & why a solution does not fit your facility. We start with 'Do you even need to automate?'
  • You control the conversation. No vendor receives your contact details or facility profile until you explicitly ask for an introduction. The shortlist is yours first.

Automatisor does not sell automation equipment. We do not take commissions from vendors.

Warehouse operator
Starts assessment · receives diagnostics
Decision intelligence
Automatisor
Analyses operations · recommends best path
Qualified introduction
Solution provider
Receives pre-qualified brief · offers right-fit solution
The Problem

The information you need
doesn't exist in a neutral form

Vendor Overload
"There were 50 AMR vendors at MODEX. I don't have the bandwidth to evaluate all of them."

The automation market has fragmented faster than warehouse operators can track it. Without a neutral filter, shortlisting defaults to whoever had the biggest booth & coolest demos.

Untrusted ROI Data
"Every vendor shows me a payback under 18 months. My CFO stopped trusting those numbers."

Vendor-supplied ROI projections are discounted immediately by finance teams. The business case stalls because there's no trusted, neutral, third-party benchmark to build from.

Complexity Surprise
"We bought the robots. Six months in, we found out our WMS couldn't talk to them."

Integration requirements, minimum order volumes, ceiling height constraints — these eliminate most vendors for most facilities. Warehouses find out too late.

Assess your facility & own the narrative, before a vendor skews it

Answer a few questions & schedule your on-site assessment. Receive your facility snapshot, right-fit automation recommendations, and a shortlist of vetted, matched vendors

Start your Assessment
Decision Intelligence explained

From signal to certainty
in four steps.

01
Conduct detailed assessment of your facility by an expert Industrial Engineer
Map your operations
02
Diagnose operational strain, process risks & blockers to growth
Diagnose readiness gaps
03
Create facility snapshot by layering contextual insights - Business, Labor, Throughput, Customer
Receive technology recommendations
04
Compute right-fit automation path, business case & operational projections
Match with right-fit vendors
Clear way forward
Discover vetted automation vendors backed by personalised RoI projections & implementation plans

Leave with an operational snapshot, a neutral technology recommendation, and a shortlist of vetted vendors matched to your facility's actual goals & constraints — not their marketing pitch. Drive your automation journey with confidence!

Outcome
Processes

Where autonomous robots really
change the game

Industrial processes where autonomous material handling creates — or destroys operational value. Each process mapped with site specific realities, not vendor claims.

Inbound receiving & putaway
The first 90 minutes after a truck docks determines throughput for the next six hours. Tugger routing at this stage cuts putaway cycle time by 35–45% in documented deployments.
Outbound staging
Dock congestion at shift change costs 40 minutes per lane per day in the average mid-size DC. Autonomous staging moves that loss upstream, where it's invisible and manageable.
Cross-docking & flow-through
Cross-dock throughput is a timing problem disguised as a space problem. Autonomous transport between inbound and outbound lanes compresses dwell time from hours to minutes.
Line-side replenishment
The bottleneck that shuts down the production line before the warehouse notices. Automated replenishment loops eliminate the 8-minute lag between line depletion and material arrival.
Kitting & sequencing
In automotive and electronics assembly, the sequence of parts arriving at the line must match the sequence of the build. One error costs more than a day of automation ROI.
WIP transport
Work-in-process movement between manufacturing cells is 100% non-value-adding labour. It is also the most consistently automatable process in a brownfield plant — no layout change required.
Inter-facility transport
Between buildings, across campuses, floor-to-floor. Human-driven transport between facilities carries a 23% utilisation rate on average. Autonomous loops run at 78%.
Cold storage movement
Human exposure time in environments below 0°C is the binding safety constraint. Autonomous tuggers eliminate the ceiling on throughput that cold chain operators have accepted as fixed.
Industries

Where these processes concentrate

Key industries where economics of autonomous material handling are most acute and operator decision complexity is highest.

Warehousing & 3PL
Labour cost and throughput as competing constraints
Automotive manufacturing
Sequencing precision and line-side replenishment
Food & beverage
Cold chain and regulatory compliance constraints
Pharma & cold chain
GMP environments and traceability requirements
E-commerce fulfilment
Peak variability and order accuracy at scale
Retail distribution
Cross-docking and store-ready unit sortation