Your first explained incident inside 30 days.

We build the intelligence layer — you keep running the operation. Datanoetic maps your value stream, connects your data read-only, and configures the KPIs that matter to you. Full go-live in 12–16 weeks; the improvement loop never stops after that.

Why implementation is the product.

The depth of the implementation is what makes the AI intelligent about your operation.

Most software treats implementation as the inconvenience between purchase and value. For Datanoetic, the implementation is the intelligence: the map we build together and the baselines you set are what make the AI specific to your operation — not supply chain in general.

12–16weeks
Duration
30days
First value after go-live
Managed
Model

Three phases. One programme. Built with your team.

Map.

We spend structured time with your operations leads, then build the value stream map and knowledge graph of your operation — validated by your process owners at every layer.

Connect.

Read-only connections to your WMS, ERP, TMS, IoT and T&A. Every feed tested and calibrated against real data before anything goes live.

Live.

KPIs calculate continuously, DNAI™ watches every step, and your team gets its first explained incident — typically inside 30 days. From week 16, DNOVA™ turns the incident history into permanent process improvements.

The full phase-by-phase plan — deliverables, sign-offs, and what we need from your team — is walked through in the working session.

What DNAI™ answers on day 30.

'30 days to first value' is a strong claim. Here is what it looks like in practice — one incident, from the breach to the approved fix.

Zone C · pick accuracy
  1. Breach

    Pick accuracy in Zone C drops below threshold.

  2. Root cause

    DNAI™ names the operator, device and SKU cluster — cited to your WMS scans.

  3. Fix approved

    Supervisor approves the recommend-and-confirm fix; incident closed before SLA breach.

The full walkthrough — reasoning, lineage, and the approved fix — is what we do live in the working session.

Datanoetic leads. Your team validates.

We lead every phase; your team validates and signs off — a few hours a week, tapering after the first month. No internal development or data engineering required.

Your data stays in your tenant.

  • WMS wms_picks · wms_quality
  • ERP erp_orders · erp_inventory
  • TMS tms_shipments · tms_otd
  • IoT device_events · scan_confirm
  • T&A shift_roster · attendance
Your existing systems stay

Datanoetic connects to what you already use — warehouse management, ERP, transport management, IoT sensors, time and attendance. Connections are read-only. We never write to your source systems; we read from them and materialise KPI calculations inside your isolated tenant.

Your source systems on-prem SaaS
Your tenant
BigQuery layer isolated
KPI views materialised
Knowledge graph your entities
DNAI™ reasoning in tenant
Your data never leaves your tenant

Every organisation runs in a fully isolated BigQuery tenant. KPI calculations, Knowledge Graph data, and DNAI™ reasoning all run inside your boundary. No cross-tenant data sharing, ever.

First Pass Yield traced
100 × AVG( fpy_flag )
Source WMS · wms_quality
Scope Warehouse-1 Zone C
Cited in · KPI Guard #147
96.4% baseline 96.2%
Every calculation is traceable

Every KPI formula shows its source column, scope filter, and refresh interval. Every DNAI™ output cites the data it used. Every KPI Guard alert carries a confidence rating and data lineage. Nothing is a black box.

Common questions.

No. Datanoetic connects to your WMS, ERP, TMS, and other systems through read-only connectors. Nothing is replaced. Your existing systems continue to operate exactly as they do today — we read from them and materialise KPI calculations inside your isolated tenant.

The implementation builds a Knowledge Graph of your operation — your people, your machines, your systems, your suppliers, your process steps, and how they all connect. DNAI™ reasons from this graph, not from general training data. That is why it can answer questions specific to your Zone C, your shift roster, your supplier agreements.

Full control. DNAI™ operates on a recommend-and-confirm model — it proposes actions, your team approves them. Nothing happens automatically without a supervisor's explicit approval. DNOVA™ operates on a design-and-deploy model — it proposes permanent process changes, your process owners review and approve before anything is codified. You can inspect every recommendation, every data source it used, and every confidence rating before deciding.

Mid-to-large enterprises with complex, data-rich supply chains — typically organisations operating multiple facilities, managing multiple clients or product lines, and running a WMS or ERP that generates structured operational data.

We address it before go-live, not after. The implementation includes a dedicated data-validation phase — we profile your source systems, calibrate the KPI calculations against your operation's reality, and report exactly what's reliable and what needs attention before anything goes live. You start from a baseline you can trust.

Ready to see what the first 30 days look like for your operation?

We'll scope the implementation against your specific process in a single conversation. No commitment. No generic demo — just your operation on a sample VSM.