“Why are our priority SKUs out of stock online while stores hold cover?” — answered in seconds, cited to your OMS and WMS, and the channel allocation rule behind it engineered out.

Datanoetic makes cross-channel demand visible in real time — and DNOVA™ automates the responses. Configured to your DC's process steps, your channel SLAs, and your carrier relationships — not a generic retail template.

See a demo for Omnichannel Retail

Where omnichannel operations lose value. And how Datanoetic closes each gap.

When Dock B throughput falls 26%, the impact on which channel goes short, and when, is not visible in the WMS. The inbound system knows the delay. The OMS knows the order position. Neither knows they are connected — or that the online channel for SKUs 1102–1108 will show a stockout in 1.8 hours if nothing changes.

How Datanoetic closes it

DNAI™ KPI Guard monitors every published VSM node continuously. When inbound throughput at Dock B drops below threshold, an Insight Card surfaces on that specific node — identifying the contributing carriers ranked by volume impact, the downstream channel exposure, and a recommend-and-confirm action awaiting operations manager approval.

A 3PL DC running omnichannel fulfilment generates data across five or six systems — each knowing part of the story. The WMS knows inbound volumes. The OMS knows channel order positions. The TMS knows carrier ETA. None of them know how a carrier delay translates into a channel-level stockout — until it has already happened.

How Datanoetic closes it

Datapro-V™ maps your end-to-end DC as a live VSM — inbound docks, sort lanes, channel fulfilment streams, and carrier links all connected. Read-only connectors to WMS, OMS, TMS, and returns systems feed a single tenant-isolated data layer. Nothing is replaced; the cross-channel view is assembled from what already exists.

General-purpose AI assistants can describe omnichannel best practices. They cannot tell you that Dock B throughput is down 26% because Carrier R-02 is running 79 units late, that this will create a stockout for SKUs 1102–1108 in the online channel in 1.8 hours, and that the operations manager needs to approve a wave-planning adjustment in the next 20 minutes.

How Datanoetic closes it

DNAI™ reasons from your Knowledge Graph — every carrier, every dock, every SKU class, every channel SLA threshold — not from general training data. KPI Guard generates hypotheses grounded in your process graph, not retail templates. DNAI™ Chat answers operational questions in plain language, citing the specific records it used and the lineage behind every figure.

Dock B · stockout risk
  1. Breach

    Dock B throughput drops 26%; a cross-channel stockout window opens.

  2. Root cause

    DNAI™ names Carrier R-02's delay and the SKUs at risk — cited to your WMS and OMS.

  3. Fix approved

    The operations manager approves the wave-planning adjustment; the stockout is prevented before the channel goes live.

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

The improvement, KPI by KPI.

DNAI™ resolves today's incident; DNOVA™ removes the cause for good. Open either metric to see the DNOVA™ process logic behind it — and the other KPIs it configures on your VSM.

Customer Satisfaction

Fuller

In-stock rate on priority SKUs

Cross-channel real-time demand signal plus DNOVA™ automation — across all channels simultaneously.

Time

Shorter

Fulfilment cycle time

Cross-stream bottleneck detection from inbound through pick to despatch.

Direction of improvement shown; we model the numbers on your value stream in the first 30 days. Results depend on operational baseline, data connectivity, and deployment scope.

In-stock rate on priority SKUs

DNAI™ acts on this session's incident — recommend-and-confirm, operations-manager-approved. DNOVA™ acts on the chronic pattern behind it — design-and-deploy, process-owner-approved.

How DNOVA™ holds it

After the initial wave of DNAI™ incidents, DNOVA™ identifies the chronic pattern: cross-channel stockouts for priority SKUs occur when specific carriers run late and online sell-through crosses a threshold. It proposes an automated cross-channel stock reallocation rule — when both conditions are met, stock is reallocated from the online pool to the shared channel, notifying store replenishment and online fulfilment at the same time. Merchandising director approves. Rule deployed. Next carrier delay: no stockout.

Other metrics we track in Customer Satisfaction
  • NPS
  • CSAT
  • Customer Effort Score (CES)
  • Repeat Purchase Rate
  • Service Recovery Rate
  • Complaint Resolution Time

Configured to your thresholds and baselines — not industry averages. Formulas are defined and maintained by Datanoetic.

Fulfilment cycle time

DNAI™ acts on this session's incident — recommend-and-confirm, operations-manager-approved. DNOVA™ acts on the chronic pattern behind it — design-and-deploy, process-owner-approved.

How DNOVA™ holds it

DNAI™ surfaces the cross-stream bottleneck in each session. DNOVA™ attacks the recurrence: it identifies the repeating process-interaction patterns (inbound competing with returns, outbound staging overlapping with sort) that consistently stretch the cycle. It proposes sequencing rules mapped to each VSM step — deployed once approved — so the same interaction pattern cannot recur as a chronic cause.

Other metrics we track in Time
  • Cycle Time
  • Lead Time
  • Throughput Time
  • Wait/Idle Time
  • On-Time Delivery %
  • Time Variance %

Configured to your thresholds and baselines — not industry averages. Formulas are defined and maintained by Datanoetic.

How the workflow changes.

Before

Demand shifts channels overnight. Replenishment runs on yesterday's data. Carrier R-02 runs late and Dock B throughput falls 26%. The first signal is a gap in the online channel — flagged by the customer, not the team.

After

DNAI™ surfaces the Dock B throughput drop in real time, identifies the carrier delay, and flags the cross-channel stockout window: 1.8 hours for SKUs 1102–1108. The operations manager confirms the wave-planning adjustment. Stockout prevented before the channel goes live.

The same cross-channel stockout cannot recur.

After eight weeks of DNAI™ data, DNOVA™ identifies the pattern: cross-channel stockouts for priority SKUs (1102–1120 class) occur when Carrier R-02 or R-07 run more than 90 minutes late and online channel sell-through exceeds 40% of available stock. DNOVA™ proposes an automated cross-channel stock reallocation rule — triggers when both conditions are met, reallocates online-channel stock to the shared pool, notifies store replenishment and online fulfilment simultaneously. Merchandising director approves. Rule codified and deployed. Next R-02 delay: no stockout. DNOVA™ monitors for new trigger conditions.

Managed by Datanoetic end to end.

Day 30

Your 1st explained incident

Weeks 12–16

Full go-live

See how it works

30 minutes. One scenario. Your DC data.

We'll walk your team through the Dock B throughput scenario on a sample VSM that mirrors your omnichannel DC — and one KPI you wish you could explain in real time.

See a demo for Omnichannel Retail