AI Apps for Operations

Examples of features deployed in the LogiGreen AI Apps for Logistics Operations

LogiGreen AI Apps is a suite of lightweight, mobile-first tools designed to solve everyday operational problems in logistics and supply chain management.

Made by continuous improvement engineers to support operational teams.

The idea is to fill the gaps where enterprise software falls short:

Digitalisation of manual processes: cycle count, order preparation, repacking
Automate reporting for operators: Proof of Delivery, Damage Report

These tools leverage multimodal AI models with voice recognition, image analysis, and natural language processing in a single app designed for operators in warehouses, factories, and trucks.

Warehouse Damage Reports Generated with AI

In a warehouse, receiving damaged goods can quickly become a nightmare.

Isometric 3D render of a warehouse inbound area with three steps labelled: unloading a pallet from the trailer by pallet truck, applying anti-theft tags at a workstation, and a marked staging area holding three finished pallets.

Because receiving can become a bottleneck for your distribution team, inbound operations teams are under significant pressure.

When they receive damaged goods, the whole machine has to stop to follow a specific process:

Damages have to be reported with detailed information
Operators need to attach pictures of the damaged goods

For operators that have high productivity targets (boxes received per hour), this administrative charge can quickly become unmanageable.

With the app, it can be done in less than 30 seconds:

The operator starts by uploading the picture of the damaged pallet.
The operator scans the bar code and clicks on Generate Report
The app confirms the report generation

Three panels of the LogiGreen damage report tool: a phone showing an uploaded photo of a shrink wrapped pallet with a pallet ID field, the same screen confirming the report was generated and sent, and the resulting AI damage report listing packaging condition, pallet condition, severity and recommended actions. — LogiGreen AI Apps - Warehouse Damage Report: Try it

The quality team receives a comprehensive description of the damages with key information related to the damaged goods.

Vocalisation of Inventory Cycle Count

I saw many teams conducting inventory cycle counts using spreadsheets.

Google Sheets spreadsheet titled Inventory Management with columns location_id, system_quantity, actual_quantity and checked, showing three locations A5, A7 and A14 with system quantities of 7, 4 and 4 and no actual quantities entered yet.

They print them, and counters go to each location to compare the system quantity with the actual one.

We can replace these printed sheets with the inventory cycle count app.

Three panels of the LogiGreen inventory cycle count tool: a warehouse grid with counted locations in green and outstanding ones in red, the same grid once all ten locations are counted, and the completion summary listing ten counts with seven discrepancies against system quantities.

The app guides the operators across the warehouse to check the right locations and records the information (Example: "Location K5, 12 units) using the voice recognition connected to the audio input.

Results table of a cycle count listing ten locations with their system quantity, actual counted quantity and a check mark, showing differences such as A1 counted at 5 against a system quantity of 7 and K5 counted at 12 against 7. — The spreadsheet associated is automatically filled with the information collected

The operator does not need to print anything; the input is done by voice.

Try it now!

Here is a demo version: Demo