A warehouse aisle with tall racks full of pallets.

Warehousing and logistics

Receiving, stocktakes and shipping without paper or waiting

FairAI builds AI software for warehouses and logistics operators: loads confirmed before saying yes, receiving reports by voice and photo, stocktakes from a photo, a portal that answers clients and checked shipments.

Warehousing, logistics operators and distribution.

Book a 30-minute call

From information to work done

What you already have

ERP, WMSERP and WMS
SheetsSpreadsheets
DocumentsShipping documents
EmailEmail
Photos, voicePhotos and voice

Work done

Built on what only your company knows

Does this happen in your company?

“Can we take this load?”The answer depends on space, equipment and shifts, and takes hours to confirm. See how it is solved See how it is solved
Receiving notes written by hand?Notes are written in the warehouse and typed up at the end of the shift. See how it is solved See how it is solved
Does the stocktake stop the warehouse?Pallets are counted one by one, and differences only show up weeks later. See how it is solved See how it is solved
Is the client asking about stock?And someone has to go and find the answer before replying to the email. See how it is solved See how it is solved
The truck arrives and a document is missing?Documents and holds are only checked right before the collection. See how it is solved See how it is solved
“Have we had this case before?”Claims, reports and old emails are scattered and nobody can find them. See how it is solved See how it is solved

Use cases

Where FairAI fits in, from order to delivery

Pick a step: each one has a working example.

Use cases · 1 · Plan

“Can we take it?” Answered in minutes

1/4 · The request arrives: can we take it?

Planning assistantExampleIllustrative exampleIllustrative example with fictitious data

Trucks:

Can we receive 26 trucks of green coffee on Thursday 23/10?

Yes, with one extra forklift team in the morning. Bay 3 and warehouse B have space.

06:0009:0012:0015:0018:00

Bay 3VesselCoffee
ForkliftsGRN-2050Coffee+1 team
Warehouse B6,350 palletsCoffee

210 slots still free · other releases unaffected

Plan confirmed Open scheduleReply to client

Try it: Change the number of trucks and watch the answer change.

Illustrative example with fictitious data

Today

When an urgent request comes in, someone goes through spreadsheets and asks several people whether there is capacity. The answer takes time and the impact on other deliveries goes unseen.

With FairAI

FairAI simulates the request against the real load and shows options with dates and costs. The planner chooses.

With FairAI

Faster, firmer answers to clients
Clashes spotted before they happen
Impact on other orders shown up front

Builds on our workthe planning assistant that simulates new orders against capacity and cost.

Talk about this case Next: Reports by voice and photo

Use cases · 2 · Receiving

Speak it, snap it, and the report is ready

1/4 · The team photographs the pallets

Warehouse rack with pallets and, on the beam, the labels for positions 25-22-20 to 25-19-20. — Illustrative example with fictitious data

Today

In the warehouse, counts and receiving notes are written by hand or typed up at the end of the shift. For foreign clients, they still need translating.

With FairAI

Staff speak and photograph the pallets. FairAI reads the labels, counts the units and fills in the report in the client’s language. Anything unclear is flagged.

With FairAI

Units counted and labels read from the photo
Spoken in any language, reported in the client’s
Report ready by the end of the shift

Builds on our workthe service app in use at F. Caixeiro, which turns voice and photos into reports. Read the case study F. Caixeiro

Talk about this case Next: Counted from a photo

Use cases · 3 · Stocktake

Stocktakes without counting pallet by pallet

1/4 · Photograph the zone

Warehouse seen from above, with rows of pallets of bottled water. — Illustrative example with fictitious data

Today

Stocktakes are counted by hand, area by area. Differences from the system only show up weeks later, when goods are missing from a shipment.

With FairAI

Photograph the area with a phone. FairAI counts the pallets, compares them with what the system says and shows the difference. The person in charge decides: recount or adjust the stock.

With FairAI

Counts in minutes, not shifts
Differences seen the same day
Every count is kept with its photo

Builds on our workthe photo reading in F. Caixeiro’s app and image search already tested in a proof of concept. Read the case study F. Caixeiro

Talk about this case Next: Clients ask, the portal answers

Use cases · 4 · Stock and clients

Clients ask, the portal answers

1/3 · The client asks in the portal

Client portal · AssistantExampleIllustrative exampleIllustrative example with fictitious data

How much coffee do I hold in Dublin, and how much is reserved?

1,240 pallets in Dublin: 830 reserved for shipments and 410 free.

Green coffee by warehouse (pallets)

Dublin830410
Cork400210
Waterford300155
Shannon150230

ReservedFree

Request shipmentDownload reportAlert me on changes

Everything checked before the truck arrives

1/4 · Today’s collections

Today’s collectionsExampleIllustrative exampleIllustrative example with fictitious data

Mon 20/10 · 3 collections

- Loading instructions received
- Driver details and plates: missing
- Stock staged at bay 4

Follow-up to the client · ES

Hola, para la recogida EXP-2042 nos faltan los datos de los conductores. ¿Nos los pueden enviar antes de las 14:00?

Sent

Try it: Open each collection to see what was checked.

Illustrative example with fictitious data

Today

Only with the truck at the gate does someone find a missing document, a hold or a stock shortfall. The loading slot and the trip are lost.

With FairAI

Before each collection, FairAI checks instructions, documents and stock and lists what is ready, missing or blocked. The client follow-up comes out ready to review and send.

With FairAI

Fewer lost slots and wasted trips
Holds visible early
Follow-ups drafted in each client’s language

Builds on our workthe spreadsheet and photo reading we already use in search and field reports.

Talk about this case Next: “Have we seen this before?”

Use cases · 6 · Claims

“Have we done this before?” Answered in seconds

1/3 · Ask in everyday words

Archive searchExampleIllustrative exampleIllustrative example with fictitious data

coffee receipts with higher than normal moisture in 2024

Receiving log 2024Lot CV-24-0412 · moisture 13.8%Excel · 2024
Inspection report RI-0587Damp bags in the bottom layer, bay 2PDF · Quality
Client email“Please resample before release.”Email · 02/05/2024
Unloading photoDescribed by AI: bags with damp stainsImage · 2024

4 results, each with its source Use as reference

What we have built that applies to the warehouse

Pieces already working at other companies, which the examples on this page are built on.

Mobile app screen: photo of a machine with the text read from the image and a voice note being recorded. Next to it, the report on a computer, with the issues and improvements identified.

In use

Field service app

1Text read from the photo
2Voice notes recorded at the machine
3Report organised, translated, signed and hash-sealed

More work already done

Document and image search
For a ceramics manufacturer: years of orders in spreadsheets and images, searchable in everyday words.
Planning assistant
For manufacturing: ask in everyday words and the new order is simulated on the schedule, with the impact on capacity and cost.
Assistants on documentation
For Pawpass, on the rules for travelling with pets, and for Arbitrum, on the technical documentation for developers.

Chosen by clients, backers and leading programmes

What it costs today

What does repetitive work cost you today?

Run the numbers for your company: looking for information, copying data between systems, putting quotes together by hand.

People doing repetitive work15Hours a week, per person6Cost per hour, fully loaded€18

What your team already spends today

392 h a month

In wages, this already costs you about €7,047 a month (€84,564 a year).

The maths: 15 people × 6 h a week × 4.35 weeks × €18 an hour.

In the call, we look at where that time weighs most and what can be done with it.

Book a 30-minute call

FAQ

What people usually ask us

Do we have to change our WMS or ERP?

No. We connect to what you already use (ERP, WMS, spreadsheets and email) and start read-only. If you replace a system, only the connection to that system changes.

We already have AI in our ERP, or Copilot. Why do we need you?

Use it for what it does well. Copilot and the AI built into ERPs (SAP, Microsoft Dynamics, Sage…) help with emails, summaries, finance and alerts, and they are the same for every company. We take care of what is yours alone: the answer on capacity for a load, the warehouse report by voice and photo, the check before shipping. We connect to the ERP and the WMS; we don’t replace them.

What language do the reports come out in?

Each client’s own. The team speaks or writes in Portuguese, and the report comes out in English or Spanish, for example, ready to review.

In the portal, does each client only see their own data?

Yes. The assistant answers each client with their own data only, and that data can stay on your servers.

What existing work is this built on?

On pieces already in use: voice and photo reports at a machine builder, search across years of documents and images, and assistants that answer from documentation. In the pilot, we show the result with your data.

How long until something is working?

We start with a 30-minute call. Then a pilot of about 1 month on a real case leaves a first version working with your data.

Not sure where to start? Take a 2-minute assessment

Receiving, stocktakes and shipping without paper or waiting

Does this happen in your company?

Where FairAI fits in, from order to delivery

What we have built that applies to the warehouse

Field service app

More work already done

What does repetitive work cost you today?

What people usually ask us

Let’s look at a process in your warehouse