Supply Chain Decision Intelligence
The data arrived on time. The decision didn't.
Your ERP, planning system, and warehouse each hold part of the answer. Putting them together still takes meetings, spreadsheets, and days you don't have. The A2go Decision Intelligence Platform (ADIP) coordinates the decision across all of them — on the systems you already run.
Supply chain's operating-system moment.
In 2007, the smartphone didn't add a feature. It changed the system. The same shift has arrived for supply chain — and it changes what you should expect from the software you already bought.
The phone absorbed the devices.
The camera, the GPS unit and the MP3 player stopped existing. Their functions moved inside the handset, and the hardware was retired.
Your systems keep running. Only the data travels.
ERP, OMS, WMS and the rest stay exactly where they are, still transacting, still the systems of record. ADIP reads what its agents need, continuously.
Your supply chain still runs like it's 2006 — ERP, WMS, planning, BI, spreadsheets, each holding part of the answer, with your planners in the middle doing the reconciling. A2go is the new operating-system for supply chain that doesn't require replacing or relocating any existing system.
- Coordinated, not centralizedWhat gets pulled from your systems, what comes back, and why nothing relocates.Deep diveLearn more
- The Coordination GapWhy the cost sits between your systems rather than inside any one of them.Point of viewLearn more
- Anatomy of a DecisionOne supply chain decision traced end to end: every hand-off, every delay.Deep diveLearn more
- Coordinated, not centralizedWhat ADIP does differently from a platform that asks you to migrate into it.On this pageLearn more
One governed decision layer over the systems you already run.
ADIP — the A2go Decision Intelligence Platform — is made up of the data orchestration engine (ADOE), which feeds AI-ready data into the A2go supply chain specific AI agents, which then combine with the Judgment Layer to optimize all recommendations. Human oversight, in the form of decision approvals and rejections, gets captured and used to make the agents smarter for the next recommendation.
- Above the stack, never inside it. ADIP layers over multiple ERPs, IT and OT, across every site. Source systems stay exactly where they are.
- Coordinated, not centralized. A demand signal informs planning, planning informs inventory and order promising — the way a well-run planning team works, except continuously.
- Every recommendation carries the why. The trigger, the alternatives considered, the constraint that applied, and the expected impact. Approval-ready, not another alert.
- Governed end to end. Lineage, permissions, and audit run through Unity Catalog on Databricks. Approved actions write back to your systems of record.
- Not a rip-and-replace platform. Not a dashboard, and not another model in isolation. One coordination layer over what you already own.
- Nothing migrates, nothing gets replacedWhy your stack stays where it is, and what removing ADIP would leave behind.Deep diveLearn more
- The Decision LibraryEvery supply chain decision our agents cover, by pillar, with the metric each one moves.ReferenceLearn more
- Works with what you runAny ERP, any planning system, any WMS. What connecting to ADIP actually involves.ReferenceLearn more
Your data, made AI-ready where it already lives.
The A2go Data Orchestration Engine is the foundation every agent runs on. It reads from your source systems, reconciles the definitions that exist today, and streams each agent exactly the data it needs — in the shape it needs, at the moment it needs it. Built natively on Databricks. No migration, no new destination.
Layer 02 of ADIP
Real-time, micro-batch, or scheduled — ADOE adapts to each source.
Entities reconciled, hierarchies aligned, time series put on one timeline.
Open formats on the Lakehouse, versioned for traceability and audit.
A tailored data product per consumer, not one flattened table.
Agents, models, and dashboards draw through governed interfaces.
Anomalies, schema drift, and upstream breaks caught before decisions run on them.
ADOE reads from it. It doesn't replace it.
If you already have a lake, a warehouse, or a fabricWhatever you have already built — a lake on another vendor's platform, a data fabric, a warehouse, or a mix of all three accumulated across acquisitions — ADOE draws from it through standard governed interfaces and streams what each agent needs. Your existing investment stays in place, and it usually gets more valuable: static stores become live, agent-ready feeds instead of extracts somebody refreshes on a schedule.
ADOE also doesn't wait for a finished master-data program. It reconciles across the definitions that exist in your systems today, starts delivering in weeks, and supports the master-data work over time rather than blocking the business until it lands.
- The ontology at the center of ADOEWhere your business rules, guardrails, and decision responsibilities actually live.Deep diveLearn more
- ADOE, in fullThe six continuous functions, the architecture, and what it asks of your team.Deep diveLearn more
- A2go on DatabricksThe customer story Databricks published on the apps A2go runs on its platform.databricks.comLearn more
- Sources and connectorsThe platforms, warehouses, lakes, and feeds ADOE reads from today.ReferenceLearn more
Agents that talk to each other, not past each other.
Each agent is built for a specific supply chain decision — demand, planning, inventory, order promising — and none of them works alone. One agent's answer becomes context for the next, continuously, so what reaches your planner is a single reconciled recommendation rather than four competing ones.
Layer 03 of ADIP
What makes them coordinated
The value is in the reconciling. A single agent answering one question well is useful; a set of agents answering across the chain, against one another, is what changes the decision.
- Purpose-built, not general purpose. Every agent is tied to a specific decision and a measurable financial metric.
- They orchestrate continuously. Demand reaches planning, planning reaches inventory and order promising, without waiting for a meeting.
- They reason on governed data. Each agent draws only what it needs from ADOE, so the answer is built on current, reconciled inputs.
- They get sharper with use. Every approval and override feeds the Judgment Layer above them.
- Supply chain AI agentsThe full agent library across all four pillars, and what each one is built to decide.Deep diveLearn more
- The Decision LibraryEvery decision the agents cover, by pillar, with the metric each one moves.ReferenceLearn more
- Inside ADIPWhere the agents sit, and what feeds them from below and above.Deep diveLearn more
The part of your business that never made it into software.
Your best planner knows which customer you protect when two orders compete, which supplier's lead time to distrust in August, and when the rule gets broken. None of that is in your ERP. It's in people, and it walks out at retirement. The Judgment Layer encodes it — and every approval and override makes it sharper.
Layer 04 of ADIP
Traces
Every decision your planners make is captured — including the ones they reject, override, escalate, and handle as exceptions. The why behind every yes and no.
Decision memory
Priorities under load, supplier and allocation rules, lead-time and SLA guardrails, escalation policy — accumulated into a memory unique to your company.
Governed decisions
The next recommendation reflects how you actually decide. Approved overrides become reusable playbooks, available across the next disruption.
Specific to you, retained by you. Your Judgment Layer carries your company's own decision logic — the approvals, the rejections, and the reasoning behind them. It is never shared across customers. Without it, AI is just automation; with it, expertise compounds instead of retiring.
Faster decisions, on the infrastructure you already paid for.
Transformation follows results, not the other way around. There is no org redesign, no data migration, and no system replacement to get through first.
Better decisions
Your planners see the tradeoffs, the alternatives, and the why — and keep the call. Confidence comes from visibility, not from trust in a black box.
Operational agility
Disruptions get detected, sized, and answered in the same shift instead of across a week of meetings and reconciliation.
Financial impact
Every agent is tied to a measurable financial metric — service level, working capital, avoidable cost — so value is attributable, not assumed.
Enterprise control
Governed, secure, and auditable end to end. Nothing acts outside the limits you set, and every decision is logged with who approved it and why.
Built for complexity you didn't choose.
Manufacturers and distributors moving physical goods, where demand planning, inventory, procurement, scheduling, and fulfillment decisions carry real financial consequence.
Multi-site and multi-ERP environments, systems accumulated through acquisition, high SKU counts, constrained capacity, and regulatory obligations that don't bend.
Planners spending their time reconciling rather than deciding. Stockouts and excess at the same time. OTIF below 90%. An S&OP cycle nobody believes by week two.
- Nothing migrates, nothing gets replacedNo central rewrite, no prerequisite program, first domain live in weeks.Deep diveLearn more
- Results in productionWhat live deployments have changed, and how each outcome was measured.ProofLearn more
- Who we serveThe company profile, the complexity, and the decisions worth starting with.ReferenceLearn more
- AI readiness surveyTen minutes, and it tells you where your decisions stall before we ever talk.AssessmentLearn more
We start where you are and go from there.
Not a platform evaluation. One working session on the decision that costs you the most today — where it stalls, what it's worth, and what a first deployment against it would look like on your existing systems.
- You bring the decision and the people who make it
- We map where it stalls across your systems
- You leave with a scoped first domain and a timeline
- No migration proposal, no platform commitment