On-premise · Mittelstand · Your data stays in-house

First the route,
then the software.

We build data-driven software for mid-sized companies — forecasting, planning, processes. Our flagship is Wayfinder Demand Intelligence. Whatever your operation needs beyond that, we build alongside it. All of it runs on your own infrastructure.

On-premise

First usable version in under 12 weeks

Your data and logic stay yours

PipelinesProcessesDocumentsControlAssistantOperationsOn-premisePipelinesProcessesDocumentsControlAssistantOperationsOn-premise

N 01 — The approach

No product catalogue. We work with what is already there.

Standard software covers most of it. The rest — precisely the part where your operation differs from every other — ends up in spreadsheets, one-off queries and a few people's heads. That is where we start: close to the process, connected to your existing systems, running on your hardware.

Build

Software, not slide decks

What you get is not a concept paper but a system that runs in daily operations and that the department actually trusts.

Connect

To what is already there

ERP, inventory management, production, Microsoft 365. Read-only, without touching your core systems — no replacement, no migration.

Operate

Long after the project

Installation, monitoring, alerting, maintenance, data processing agreement and SLA. Plus an orderly handover, should you one day no longer need us.

Just as wayfinders read many signs at once, the platform weaves your signals into a single heading:

Nā Hōkū

the fixed stars

ERP / Inventory

Orders, sales, prices, customers, stock

Nalu

the wave

Production

Capacity, shifts, scrap, bottlenecks

Manu

the bird

Sales

Promotions, customer behaviour, pipeline, churn signals

Makani

the wind

External signals

Season, holidays, weather, events, market data

The full picture — how the name works →

N 02 — The flagship

Wayfinder — Demand Intelligence

Daily forecasts per item, customer and site. Accuracy stated openly instead of a black box. And derived from it, what actually needs doing tomorrow morning — reorder points, safety stock, priorities, alerts.

Cockpit

Week 18 · Mon, 8 May

Total demand

€ 2.4 M

+8.2 % vs. last year

Forecast accuracy

96.2 %

MAPE 7.6 % · WAPE 5.1 %

Service level

98.1 %

+1.4 pts

Active forecasts

894

12 cold-start

Demand vs. forecast

Ensemble (LightGBM + TFT) · MAPE 7.6 %

TODAY
ActualForecast

ABC/XYZ matrix · 894 articles

ABC
X
142
96
48
Y
78
134
112
Z
22
64
198

A · High revenue share

B · Medium

C · Low revenue

XYZ = demand stability · X steady → Z erratic

01

Forecast per article, customer & location

Hierarchically reconciled (MinT), refreshed daily — not once a quarter.

02

Transparent accuracy

Accuracy shown openly (MAPE/WAPE), with an 80% confidence band and SHAP drivers. Not a black box.

03

Straight to action

The forecast becomes reorder points, safety stock, priorities and alerts for daily operations.

Cockpit / Control TowerForecast & confidenceSegmentationInventory & orderingCustomer intelligencePurchasingProductionScenariosAI assistant

Everything else on this page runs on that same foundation — every custom solution inherits its connectivity, data quality, permissions and operations from the product.

N 03 — What else we build

Same foundation,
different question.

Not everything starts with a forecast. Plenty starts with a spreadsheet nobody has dared to touch in six years. Every line here is something we have already built.

Pipelines

Automated data pipelines

We collect your data where it lives, validate it and deliver it processed every night — read-only, without touching your core systems. With traceable origin for every figure, automatic detection of changed source structures, and an alert the moment a run fails. Ready-made connectors:

SAP R/3SAP S/4HANADynamics 365SQLRESTSFTPE-commerceCSV / Excel

in production: multiple sites, nightly run

Processes

Replacing spreadsheets and Power Apps

Requests, approvals, lists and maintenance plans become real web applications — with Microsoft 365 sign-in, an approval chain resolved automatically, reminders until a decision is made, and a complete audit trail.

in production

Documents

Processing paperwork automatically

Orders, delivery notes, promotion sheets and invoices into the system via text recognition and a language model — including ongoing measurement of how accurately the recognition actually performs.

in production

Control

Cockpits for daily operations

Production scheduling, traceability, supplier scoring, open items, complaints — right through to the display on the shop floor screen.

in production

Assistant

An AI assistant on your own documents

Questions to manuals, master data, contracts and reports — answered by a language model running on your server. Nothing leaves the building.

Operations

Operations and accountability

Installation on your hardware, monitoring, alerting on incidents, maintenance windows, data processing agreement and SLA — plus a documented exit, written before anyone needs it.

N 04 — From live operations

What is already running

Not pilot projects in a drawer, but systems somebody relies on every single day.

Food processing

From demand forecast into the cutting floor

More than 50 functional areas in one application — forecasting, purchasing, slaughter and production planning, traceability, returns, supplier performance. A nightly orchestrated data pipeline, a fresh forecast each day, document import via text recognition.

On-premiseForecast ensembleOrchestrated pipelineCI/CD

Administration

Requests and approvals without Power Apps

Replacing an overgrown Power Apps flow: managers are resolved automatically from the company directory, approval happens by email link or in the app, and every open step sends a daily reminder until it is decided.

Entra IDMicrosoft GraphAutomatic rollback

Platform

The foundation underneath

A multi-tenant base with a dedicated connector per customer, data quality checks, reporting, alerting and permission management. Delivered as a self-contained package on customer hardware — including documented offboarding.

Container deliveryMulti-tenantGDPR procedures

N 05 — Principles

What we don't do

Some of this would sell rather well — and would hollow out the very promise you hire us for. Which is why it sits here and not in the small print.

Turn your numbers into an industry benchmark.

We never pool customer data. What is created in your building stays there — anonymised or not, and however tempting the comparison would be.

Move you into our cloud.

Everything runs on your infrastructure. If you want the cloud, that is your decision — not our precondition.

Licence tiers, module pricing, user brackets.

One price per month. No staircase where every second question costs a step more.

Tie you to us.

Your data, models, configuration and business logic belong to you. We write the handover down before anyone needs it.

Use AI because it says AI on the box.

Where a rule suffices, we build a rule. A model goes only where it is demonstrably better — and the measurement stays visible.

Take on more than we can operate.

We are a small team. We say no when a project does not fit what we can stand behind for the long run.

N 06 — The path

A usable version in under 12 weeks

First value comes from existing data — not after a system overhaul.

  1. 1–2

    Target & data

    Prioritise use cases, clarify data sources, define success metrics

  2. 3–5

    Connection

    Connect ERP/SQL/CSV read-only, make data quality transparent

  3. 6–8

    Forecast

    Train models, measure accuracy, check outliers and seasonality

  4. 9–10

    Steering

    Calibrate inventory, purchasing, production and alerts to business logic

  5. 11–12

    Pilot

    Train users, activate the weekly report, test decisions in daily operations

After 12 weeks: a first productive decision basis on real data, with a clear measure of goal attainment and concrete daily value.

N 07 — Next step

Who needs what — and why?

The goal: decide with confidence whether a usable pilot is possible in under 12 weeks.

  1. 1Which decisions should get better?
  2. 2Which data sources exist?
  3. 3Who uses the results in daily operations?
  4. 4How do we measure success after 12 weeks?

Talk to us directly

Two sentences are enough: which decision should get better? We'll get back to you personally — no sales machinery.

Write an email →support@wayfinder-ai.de
▸ Or see the live demo first

Personal reply — no newsletter, no mailing list.