Industry · Industrial Manufacturing

Decision intelligence for industrial manufacturers

If you run $400M–$2B of multi-site manufacturing, or distribution-heavy manufacturing where the network matters as much as the plant, your hardest problems are not data problems. They are decisions: which orders run where, which work orders release, and what the plan actually commits to. The A2go Decision Intelligence Platform (ADIP) puts agents on those decisions.

See a worked release decision

Where the week goes

Three decisions that stall the schedule

Master scheduling across multi-site capacity

The master schedule is rebuilt from ERP extracts, plant by plant, in a spreadsheet one planner fully understands. Every change — a down machine at one site, a pulled-in order at another — means another overnight rebuild. So the schedule is regenerated less often than the business changes, and everyone knows it.

The decision behind itWhich orders run, at which site, in which sequence — re-decided every time demand, capacity, or material reality moves.

Material availability gating work-order release

A work order is ready to start except for one binding BOM line. The real choices — transfer equivalent stock, expedite, wait, or release partial — each carry a different cost and a different promise to a customer. But release decisions are usually made off a shortage report with none of those costs attached.

The decision behind itRelease, hold, or unlock — priced against the shipment behind the order, not just the part that is short.

Walk through a Clear to Build decision — one binding short, four unlock paths, each priced in dollars and days.

S&OP nobody trusts by week two

The consensus plan is assembled from spreadsheet extracts and circulated as a static deck, stale on arrival. By week two the plant is back on hot lists and expedites. It is the same before-state described in A2go's published Databricks customer story: analysts pulling data to Excel and circulating stale, static recommendations.

The decision behind itWhat the plan commits to this month — and who re-decides, with what data, when reality moves.

All three cash out in the same two numbers. When scheduling, release, and S&OP decisions run on stale data, you buy schedule attainment with expedite spend — premium freight, overtime, broker buys — or you protect cost and watch attainment slip. The trade is real either way; the problem is making it blind. In SCOR DS terms, these decisions sit across Plan, Order, Source, and Transform, and they are made dozens of times a week.

How ADIP works here

Three agents, one story

ADIP deploys decision agents one decision at a time. In an industrial deployment, three usually come first, and they work the same thread.

[SLOT — CONFIRM the three agent names and scopes below against the Agent Selection Guide before publish; they are drafted descriptively and may not match the guide's canonical titles.]

Master Scheduling Agent

Regenerates the multi-site master schedule from live ERP data whenever demand, capacity, or material changes — not on a weekly batch — and shows the attainment-versus-expedite cost of each alternative before anyone commits.

At a roughly $500M industrial manufacturer, master scheduling went from 18 hours to 15 minutes.

Clear-to-Build Agent

Checks every work order against its binding BOM lines at release, finds equivalent stock across sites and part numbers, and prices each unlock path — transfer, expedite, wait, or partial — in dollars and days.

Run it by: clean-release rate, and expedite dollars per release decision.

[SLOT — verified customer figure for release/expedite improvement; copy owner delivers with sign-off attached.]

Plan Alignment Agent (S&OP)

Keeps the operating plan and the live schedule reconciled continuously, so the number leadership approved at S&OP is the number the plants are actually running — no re-keyed decks between the meeting and the floor.

Run it by: plan age at decision time, and plan-to-execution adherence.

[SLOT — verified customer figure for S&OP cycle or adherence; copy owner delivers with sign-off attached.]

Here is the thread. A supplier decommits one binding line at Plant 2 on a Tuesday. The Clear-to-Build Agent flags the short at release and prices four unlock paths; the planner picks the transfer. The Master Scheduling Agent re-sequences both plants against that choice in minutes and shows what the expedite alternative would have cost. The Plan Alignment Agent rolls the outcome into the operating plan, so Friday's S&OP review starts from what actually happened, not from a deck built before the decommit. A person stays on every decision: ADIP is a judgment layer over your ERP, not a replacement for it.

Fit

Built for the $400M–$2B operator

You run multiple plants on one or two ERPs, with a planning team measured in single digits per site. You cannot staff a data-engineering group to carry an 18–36 month transformation, and you should not have to. ADIP deploys on top of the systems you already run, agent by agent, starting with the single highest-pain decision — so the first decision is live in weeks, not at the end of a program.

If your network looks more like distribution than production, start with the distribution page. If you own the P&L, see the CFO view; if you own the schedule, the COO and supply chain view. Outcomes across industries are collected on the results page.