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Forecast, accuracy and recommended action in one interface

A daily forecast, transparent accuracy and the actions that follow from it — not once a quarter, but every day.

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N 01 — The problem

Decisions too often rest on outdated and imprecise information

BI only explains the past. Planning needs reliable signals about the future. The data usually already exists — it just isn't used systematically for planning, early warning and prioritisation.

01

Demand is guessed

The knowledge sits in people's heads, spreadsheets and one-off queries.

02

Inventory ties up liquidity

Overstock binds capital; stockouts cost revenue and service quality.

03

Data is scattered

ERP, inventory, production, sales and external signals stay siloed.

04

Reports look backward

They show what happened — not what to do tomorrow.

Instead of reacting after the fact, the goal is to spot and act on opportunities early and proactively.

N 02 — Our solution

Not another layer of software — an effective tool for better decisions

ForecastInventoryCapacityCustomer
01

Simple

Usable by leadership, sales, purchasing and production — no SQL, AI or data-science skills required.

02

Secure

On-premise on your infrastructure. Company data never leaves your building.

03

Fast

A usable version with real company data in under 12 weeks.

04

Ownership

Data, configuration and business logic stay inside your company.

N 03 — Modules

One platform — the modules you need

Every module shares the same data foundation and forecast. Activate what creates value — step by step.

Cockpit / Control Tower

Bottleneck signals and demand/supply balance for leadership.

Forecast & confidence

Ensemble of LightGBM & TFT, 80% confidence bands, MinT-reconciled.

Segmentation

ABC/XYZ for articles, RFM for customers — auto-classified nightly.

Inventory & ordering

Reorder points, safety stock, coverage and inventory aging.

Customer intelligence

Purchase probability, churn risk and next-best-actions per customer.

Purchasing

Order proposals, supplier scorecard (OTIF) and approvals.

Plus in every instance:ProductionScenariosAI assistantData quality & schema driftModel management & walk-forwardRBAC · 2FA · Entra ID SSOAudit log

N 04 — The name

Wayfinder

Traditional Hawaiian navigators work with the traditional star compass. By reading the night sky, ocean swells, migrating birds, wind and current patterns of nature, the wayfinders reach their destination. In the same way, Wayfinder AI reads your company's existing signals and charts the route through tomorrow's demand.

The star compass divides the horizon into 32 houses (hale) — fixed points where particular stars rise and set. No single sign is enough: only several signals together give a reliable heading. That is exactly how the platform works with your data sources.

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

Connect via the no-code Connect assistant: SAP R/3 & S/4, Dynamics 365, SQL, SFTP, REST, e-commerce, CSV/Excel — read-only; we build further connectors on request. Data that is legally or technically restricted is never forced; all accessible sources can be connected step by step.

N 05 — Which decisions get better

Value is created not in the model, but in better daily decisions

Leadership

A cockpit with bottleneck signals and demand/supply balance: where are the liquidity, revenue and service risks?

Sales

Purchase probability, churn risk and next-best-actions per customer — who needs active steering?

Purchasing

Order proposals, reorder points and supplier scorecard: what must be ordered when?

Production

Capacity signals and material check: which lines and shifts are getting tight?

Controlling

Deviation analysis, reports and audit log: what is explainable, what needs intervention?

N 06 — Data security

Data stays in-house

On-premise is not an add-on promise — it is the operating model.

Read-only access

Source systems are never modified.

Roles & rights

Users only see what they are allowed to.

Auditable

Accesses and runs are traceable.

Optional local AI

Language models can run internally.

Control stays with your company

  • No lock-in – data exportable at any time
  • No data leaking into third-party training pools
  • No dependency on external model APIs
  • No system overhaul before first use
  • No black-box decisions without explanation