Optioryx connector

Use your Optioryx data for reporting, automation and AI.

Data Panda pulls your Optioryx job results and lines them up with the rest of your warehouse and shipping stack. From one place, we turn picks, pallets, cartons and load plans into dashboards, automations, AI workflows and custom apps your operations, finance and dispatch teams use every day.

About Optioryx

The Ghent optimisation layer behind warehouse picks, pallets and truck loads.

Optioryx is a Ghent company, started in 2022 by Bart Gadeyne, Gilles Vandewiele and Vic Degraeve, and backed by imec.istart. The team builds AI and operations-research microservices that plug on top of an existing WMS, TMS or ERP and decide the harder questions: which item to pick next, which carton to grab, how the next pallet stacks stable, how the next truck loads to the roof.

The product is two suites. Pulse covers what happens between the four walls (AI Picking, 3D Palletization, 3D Cartonization, AI Slotting, Combined Pick and Pack, Transport Cost Calculation) and Flux covers mobile data capture on the floor (Mobile Dimensioning, Cargo Inspections, Return Handling, AI Vision Scanning). Customers like Bleckmann, Van Moer Logistics, TD SYNNEX, BME and Stow International run the algorithms over their own master data through an API; the optimised plans land back in the WMS or TMS that already drives the operation. The reason to pull Optioryx into a warehouse is that the algorithm decided the load and the truck drove it on the road, but the gap between the two, per shipment and per customer, only shows up when both sides land in the same place as the order.

What your Optioryx data is for

What you get once Optioryx is connected.

Operations reporting

Picking productivity, pallet stability, carton fit and truck fill joined to the orders and shipments behind them.

Lines picked per hour per picker and per zone
Fill rate per pallet and per truck against the Optioryx plan
Walking distance per order across pick waves

Process automation

Push Optioryx job results into the WMS, TMS and shipping tools so the optimised plan reaches the floor and the trucks.

Drop the recommended carton on the picking label as the order is released
Send the 3D pallet plan to the dock with the loading sheet
Trigger a re-slot job when AI Slotting flags a fast mover in the wrong aisle

AI workflows

Use job history to forecast load shape and tighten the inputs Optioryx works from.

Forecast carton mix and pallet count for next week from order history
Score SKU dimensions in the master data against measured Mobile Dimensioning capture
Flag customers whose ordered mix keeps breaking the load plan

Custom apps on your data

Small operations, dispatch and finance tools built on Optioryx job results instead of another portal export.

Dock cockpit with the planned load sequence and live deviation per shipment
Cost-per-shipment view tying fill rate to carrier invoice
SKU board flagging dimension data that needs a fresh measurement

Use cases

Use cases we deliver with Optioryx data.

A list of concrete reports, automations and AI features we have built on Optioryx data. Pick the one that matches your situation.

Truck fill rateVolume loaded versus the Optioryx 3D plan, per shipment and per lane.

Pallet stabilityPallets built to the plan versus pallets reworked at the dock.

Carton fitRecommended carton size versus the box that shipped, per SKU.

Picking productivityLines per hour per picker before and after AI Picking went live.

Walking distanceMetres walked per order across waves, zones and shifts.

Slotting driftFast movers parked far from the dispatch zone according to AI Slotting.

Cost per shipmentCarrier invoice per shipment compared to the Transport Cost calculation.

Dimension accuracyMaster-data SKU dimensions versus Mobile Dimensioning measurements.

Return reasonsReturn Handling reason codes per SKU, customer and warehouse.

Pick wave throughputOrders per wave shipped on time per shift and per zone.

Plan adherenceShare of shipments that left the dock built the way the plan said.

Cargo damage rateCargo Inspections damage flags per carrier, lane and customer.

Real business questions

Answers you will finally get.

How much air are we shipping per truck?

Cubic metres planned by Optioryx 3D Palletization compared to the cubic metres loaded, per shipment, lane and customer. Operations sees which lanes ship pallets of air week after week and where the carrier invoice is paying for empty space, instead of trusting a single average fill rate from the carrier portal.

Where does the picker walk that the algorithm did not plan for?

AI Picking and Combined Pick and Pack route distance from the job result joined to the metres the picker walked from the WMS scan log, per zone and per shift. Floor management sees which zones break the optimised route the most and whether a slotting refresh, a layout change or a different wave size would close the gap.

Are our SKU dimensions in the WMS still right?

SKU dimensions stored in the master data compared to Mobile Dimensioning measurements captured on the floor. Operations and merchandising see which SKUs the WMS still thinks are smaller or lighter than reality, which is usually why the carton choice keeps being wrong and the pallet keeps building unstable.

Value for everyone in the organisation

Where each function gets value.

For finance leaders

Optioryx Transport Cost calculations next to the carrier invoice on the same shipment, with cubic metres planned versus loaded behind every line. Cost per shipment and cost per cubic metre move from a per-customer feeling to a defensible number when the carrier rate review lands on the table.

For sales leaders

Account managers see which customers cost more to ship than the rate card assumes, with planned versus actual fill rate and pallet count per shipment behind it. The next contract conversation runs on the customer's own loading pattern, not on a fleet-wide guess.

For operations

Picking productivity, walking distance, pallet rework rate and truck fill on one dashboard per warehouse, joined to the Optioryx job that planned each one. The morning huddle runs on plan adherence per zone, not on three exports nobody had time to read.

Ideas

What you can automate with Optioryx.

Pair with Monta

Run Optioryx pallet and carton plans on Monta fulfilment orders

Orders that Monta is fulfilling for a webshop are scored through Optioryx 3D Cartonization and 3D Palletization before they hit the pick bench, and the recommended carton and pallet plan land on the Monta job. The 3PL ships fewer half-empty parcels and stacks fewer wobbly pallets, while the brand still sees one cost-per-order number in the warehouse next to the Shopify order it came from.

Pair with Solvice

Combine Optioryx loads with Solvice routes per truck

Optioryx 3D load plans flow into the warehouse alongside the Solvice route plans for the same truck and the same day, so dispatch sees both how the truck loads and which stops it runs in which order. The two Belgian optimisation engines stop being separate API responses and start showing up as one shipment record, with planned cubic metres, planned drive time and the actual outcome side by side.

Pair with MS Dynamics 365 Business Central

Feed Business Central sales orders into Optioryx load building

Sales orders booked in Business Central with the SKUs, weights and delivery date flow into Optioryx as the input for 3D Palletization and Transport Cost Calculation, and the planned pallet count, carton mix and shipping cost come back onto the order. Finance gets the load shape and the freight cost on the order before it ships, and dispatch stops re-keying tomorrow's deliveries from a Business Central report into a planning sheet.

Pair with SendCloud

Pick the SendCloud carrier with the Optioryx Transport Cost in mind

Optioryx Transport Cost results land on the order alongside the SendCloud carrier rates, so the shipping rule can pick the carrier that wins on real plan-driven cost rather than the carrier that wins on a flat list price. The webshop ships a parcel built around the right carton and the right rate, and finance sees per-shipment cost that ties back to both sides.

Your existing tools

Your data lands in a warehouse. Your BI tools read from it.

You keep the reporting tool you already have. We connect it to the warehouse where your Optioryx data lives.

Power BI Microsoft

Fabric Microsoft

Snowflake Data warehouse

BigQuery Google

Tableau Visualisation

Excel Sheets & pivots

Three steps

From Optioryx to answers in three steps.

Connect securely

OAuth authentication. Read-only by default. We sign a DPA and your admin keeps the keys.

Land in your warehouse

Data flows into your warehouse on your schedule. Near real time or nightly, your call. You own the data.

Reporting, automation, AI

We build the first dashboard, workflow or AI feature with you, then hand over the keys. Or we stay on for ongoing delivery.

Two ways to work with us

Pick the track that fits how you work.

Track 01

Self-serve

We set up the foundation. Your team builds on top.

Optioryx connector configured and running
Warehouse set up in your cloud account
Clean access for your Power BI, Fabric or Tableau team
Documentation on what's in the data model
Sync monitoring so you're warned before reports break

Best fit Teams that already have a BI analyst or data engineer and want to own the build.

Track 02

Done for you

We build the whole thing, end to end.

Everything in Self-serve
Dashboards built to the questions your team actually asks
Automations between your systems
AI workflows scoped to real tasks your team runs
Custom apps where a dashboard does not cut it
Ongoing delivery at a pace that fits your team

Best fit Teams without in-house BI or dev capacity. You tell us what you need and we deliver it.

Before you book

Frequently asked questions.

Who owns the data?

You do. It lands in your warehouse, on your cloud account. We don't resell or aggregate it. If you stop working with us, the warehouse stays yours and keeps running.

How fresh is the data?

Near real time for most operational systems. For heavier sources we schedule hourly or nightly. You pick based on what the reports need.

Do I need a warehouse already?

No. If you don't have one, we help you pick one and set it up as part of the first delivery. Common starting points are Snowflake, Microsoft Fabric, or a small Postgres start.

Which Optioryx data does the connector pull today?

The connector brings Optioryx job results into the warehouse: the recommendations from Pulse (AI Picking, 3D Palletization, 3D Cartonization, AI Slotting, Combined Pick and Pack, Transport Cost Calculation) and the captures from Flux (Mobile Dimensioning, Cargo Inspections, Return Handling, AI Vision Scanning). The recommendations are what Optioryx exposes through its API; the order, SKU and shipment master data they were built on usually lives in your WMS, TMS or ERP and is joined to the Optioryx result in the warehouse.

How does Optioryx fit next to our WMS or TMS?

Optioryx is the optimisation layer, not a WMS and not a TMS. The WMS still drives the pick, the TMS still books the carrier; Optioryx is the brain that decides which item to pick next, which carton to grab and how the truck loads. The team describes itself as the AI layer the WMS is missing, and pulling the job results into a warehouse is how that layer becomes a reporting line next to the WMS run, instead of an API call nobody saw.

We use both Pulse and Flux. Does the connector keep the suites apart?

Yes. Pulse results (the optimisation jobs that decide picks, pallets, cartons and load) and Flux captures (the mobile data on dimensions, inspections, returns and vision scans) stay in their own grain in the warehouse. Operations reporting joins them where it makes sense (the dimension Flux measured drove the carton Pulse recommended), without forcing one schema on both.

GDPR-compliant

Data stays in the EU

You own the warehouse

A first deliverable live in four to six weeks.

We review your Optioryx setup and the systems around it. Together we pick the first thing worth building.

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