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Heatmap of pallet turnover in the racks

40 innovations for the data-driven warehouse

From the digital twin through flow analytics and pick path optimisation to capacity planning and data security.

Innovations shown: 40

01Digital twin

Twin straight from the drawing

Aisles, bays, levels and the scale of the hall are read from the design documentation. The model is ready in days, not weeks of manual surveying.

Fast start, no site survey
02Digital twin

Locations matched to reality

Storage location codes from your ERP are mapped to a specific aisle, bay and level. The matching rules are documented and verifiable.

One truth about where stock is
03Digital twin

Every pallet in its exact 3D position

Each pallet is shown at its real position and height based on the volume it occupies, floor locations included.

The warehouse readable at a glance
04Digital twin

Occupancy layers in 2D and 3D

Switch utilisation bands for bays and levels with a single click, in the floor plan and in space.

Free capacity visible instantly
05Digital twin

Warehouse data quality audit

We automatically find negative stock, items larger than their location, orphaned locations and mismatches between records and the physical layout.

Cleaner data in your ERP
06Digital twin

Zones beyond the racks

Receiving, cross-dock and picking zones are a full part of the model, not a blind spot of the analysis.

The entire flow of goods in one view
07Digital twin

Snapshots over time

The state of the warehouse is stored day by day. Compare any two moments and see what changed.

Evolution instead of a single photo
08Flow analytics

Pick heatmap by bay

Picks, put-aways and transfers shown on specific bays and levels, with a month-by-month slider.

See where the warehouse really works
09Flow analytics

Operational circuits revealed

The data shows which parts of the hall serve fast picking and which hold reserve stock, often differently from the original design.

Decisions based on reality
10Flow analytics

Transfers reconstructed by balance

The direction of every transfer, from where and to where, is verified by location balances, not guessed from the document description.

Reliable flows of goods
11Flow analytics

Pick level profile

How much picking happens at floor level and how much at height, by aisle and by item.

A basis for ergonomics and equipment
12Flow analytics

ABC/XYZ from actual movements

Items classified by pick frequency and demand stability, calculated from documents rather than estimates.

The right item in the right place
13Flow analytics

Weekly and seasonal rhythm

Peaks of days, weeks and months on a single timeline. Shift planning backed by data.

Staffing matched to demand
14Flow analytics

Monthly management dashboard

Key indicators for the last closed month are prepared automatically and can be compared with previous periods.

Management without manual reports
15Flow analytics

Design assumptions put to the test

The original zoning and the designer's assumptions are compared with how the operation really runs. What does not hold up, we name.

Fewer investments made blind
16Order picking

Distance on the real aisle network

Distances are calculated along the actual aisles and cross-aisles of the hall, not as the crow flies.

Exact figures instead of estimates
17Order picking

Optimal pick sequence

The picking sequence within an order is recalculated for the shortest route. In the pilot analysis, the travel distance fell by 35%.

Up to a third fewer kilometres
18Order picking

Order batching

Orders with nearby locations are combined into a single trip. The gain is largest for piece picking.

More orders per trip
19Order picking

Golden zone

Fast movers are moved to ergonomic levels. In the pilot analysis, lifting time dropped by 27%.

Fewer lifts, less fatigue
20Order picking

Re-slotting with a back-test

Every re-slotting proposal is first tested on historical data. We recommend it only when it truly helps in that particular hall.

No change for the sake of change
21Order picking

Trajectories in 3D

The original and the optimised route side by side in the space of the hall. Everyone understands the difference, from the picker to the board.

Change people understand
22Order picking

Savings in kilometres and hours

The result is converted into kilometres per day and working hours per year at your speeds and rates.

Benefit in euros, not percentages
23Order picking

Sensitivity analysis

We show how the result changes with different speeds, rates or volumes. You see both the certainty and the risk of a decision.

Decisions made with eyes open
24Operations over time

A day in the hall

The movement of goods throughout the day is reconstructed from documents, even when the records do not store the exact time of each movement.

Operations as if on camera
25Operations over time

Minimum number of trucks

From the reconstructed day we calculate how many trucks and people are enough to finish the shift on time.

A fleet sized to need
26Operations over time

Video and PDF of any day

Export a day or a month as a 2D or 3D video and as a summary PDF for the meeting.

Materials in one click
27Operations over time

Real-time positions

Integration of truck and scanner location: live position, trail and aisle load.

What is happening right now
28Operations over time

Live occupancy

Location status is synchronised from the ERP continuously. The twin matches the warehouse, not last week's export.

Current state without exports
29Operations over time

Scenario comparison

Replay the same day with the current and the proposed setup and compare time, distance and utilisation.

Validated before roll-out
30Capacity and investment

Rack extension simulation

Add new aisles and levels to the model and instantly see the impact on capacity, routes and accessibility.

Investment validated in advance
31Capacity and investment

Growth scenarios

At what volume the warehouse hits its ceiling, and what helps sooner: new racks, different zoning or a different work sequence.

A plan for years ahead
32Capacity and investment

Dimension and load compliance

Pallet dimensions and weights are compared with location parameters. We find risks as well as unused space.

Safety and better utilisation
33Capacity and investment

Before-and-after business case

Savings, costs and payback in one document, always from current data and with recommendations ranked by benefit.

A basis for the investment decision
34Capacity and investment

Reports from live data

Presentations and reports are generated from the same data as the twin. Figures in documents never go stale.

One version of the truth
35Security and integration

Read-only integration

We connect to your ERP strictly read-only through its API. We never write anything to your systems.

Zero risk to your records
36Security and integration

Data on dedicated servers in the EU

Operational data is processed on dedicated infrastructure in the European Union and is not shared with third parties.

GDPR and policy compliant
37Security and integration

Personal accounts with two factors

Every user has a personal account with a password and an authenticator app, recovery codes and lockouts against password guessing.

Access for authorised people only
38Security and integration

Audit trail of every access

Sign-ins, exports and changes are logged in a structured format, ready to be connected to a SIEM.

Ready for NIS2
39Security and integration

Protection against automated scraping

The interface is protected by a gate that detects bots and requires computational proof. Your data cannot be downloaded in bulk.

Your know-how stays yours
40Security and integration

Real-time alerts

Sign-ins, locked accounts and suspicious activity are reported immediately to the people responsible.

Incidents caught in minutes

Which of them will deliver the most in your warehouse?

We look at your data and rank the measures by benefit. No obligation and no disruption to operations.