Same team. Broader coverage.

Dawn doesn't displace human authority. She clarifies it. Every decision is governed, auditable, and reversible.

In measured deployments, planner-to-SKU coverage expanded without proportional labor cost increase

Override effectiveness becomes measurable against outcomes

Exception rates decline as governed autonomy earns scope

Working capital efficiency improves through decision provenance

Governed autonomy expands within explicit policy bounds

See how override rates decline

How Dawn Works

DemoReel

ES engineers and system integrators define each agent's identity: data scope, decision instruments, governance instructions, evaluation criteria, and customer knowledge. Every agent is purpose-built for a specific planning portfolio.

A governed data layer, spanning data, feature, model, and decision stores, provides every agent with consistent, quality-controlled inputs. Schema contracts and lineage ensure auditability.

The Demand Planner Agent analyzes forecasts, generates cycle and item-level reports, and owns routine decisions within policy bounds. Supply Planner and Sales agents extend coverage as governance scope expands.

Agents surface decisions through email digests, the DDS planning interface, chat, and Slack. Planners validate, triage exceptions, and apply judgment where it materially changes outcomes.

Decisions flow into the decision store with full provenance. Override effectiveness is scored against actuals. Validated judgment is retained, compounding quality across cycles without manual retraining.

What Changes for You

How your planning operations change after deployment.

10,000 SKUs.
Your team
reviews 200.

Dawn owns the baseline overnight. By the time your planners open their worklist, routine decisions are made, each with full provenance. Your team starts the week on exceptions, not on volume.

Your SOPs
stop being
suggestions.

You define financial thresholds, service risk tolerance, and governance boundaries. Dawn operates within them every cycle. Policy becomes the mechanism, not the memo nobody reads.

Every override
gets a
scorecard.

Which interventions added value? Which moved plans further from actuals? For the first time, your team sees the data on their own overrides. Low-value interventions decline as the evidence accumulates.

The long tail
gets attention
every cycle.

The SKUs nobody touches now get governed decisions with the same rigor as your top 200. In measured deployments, planner-to-SKU coverage expanded without adding headcount.

Working capital
impact hits the
board deck.

Forecast accuracy improvement, safety stock reduction, and expedite cost savings become reportable numbers. In governed deployments: 7-9% improvement vs. statistical baselines, 3-4% vs. analyst consensus. Measured against your own pre-deployment baselines.