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.
- ADIP — one governed decision layer over the ERP, WMS, planning, and commerce systems you already run.
- ADOE — your data made AI-ready where it lives, streamed to every agent. Nothing migrates.
- Supply chain AI agents that work together — sharing context to orchestrate one recommendation.
- The Judgment Layer — how your people decide, encoded. Every approval sharpens the next call.
- Nothing replaced, nothing ripped out. ADIP runs above your stack, first domain live in weeks.
Databricks: Data Intelligence · A2go: Decision Intelligence · Built for manufacturers & distributors with physical supply chains
The shift
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.
Before · 2006
Five devices, five workflows
A phone, a camera, a GPS, a planner, a music player. Each one worked. You adapted your day to all five.
- Every device kept its own data
- You were the integration layer
- Adding a device added work
After · One surface
One operating system
The hardware didn't disappear. The apps were coordinated on a single governed surface, and the surface answered to you.
- One place where context is shared
- The system does the reconciling
- Adding a capability adds leverage
Your supply chain still runs like it's 2006. ERP, WMS, planning, BI, spreadsheets — separate systems, each holding part of the answer, with your planners in the middle doing the reconciling. A2go is the operating-system moment: one governed layer that coordinates them, without replacing any of them.
Learn more
- Point of viewThe 40-Hour Problem — How long it takes to detect a disruption, size it, and answer it — and what that costs.
- Deep diveAnatomy of a Decision — One supply chain decision traced end to end: every hand-off, every delay.
- On this pageCoordinated, not centralized — What the A2go Decision Intelligence Platform (ADIP) does differently from a platform that asks you to migrate into it.
01 · ADIP
One governed decision layer over the systems you already run.
ADIP — the A2go Decision Intelligence Platform — is the umbrella. ADOE, the coordinated supply chain agents, and the Judgment Layer all sit inside it, with human oversight running across every layer.
- 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.
See what it sits on → Section 05
Learn more
- Deep diveInside ADIP — The three layers — data, coordinated agents, judgment — and how they fit together.
- ReferenceThe Decision Library — Every supply chain decision our agents cover, by pillar, with the metric each one moves.
02 · ADOE
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.
Your data, wherever it sits
- Databricks
- Snowflake
- AWS · Azure · Google Cloud
- Cloudera · legacy warehouse
- Your ERP / WMS / OMS / CRM
- Supplier & external signals
Each agent, only what it needs
- Demand & forecasting agents
- Planning & scheduling agents
- Order-promising agents
- Inventory & supply agents
The six continuous functions
- 01 · Ingestion — Real-time, micro-batch, or scheduled — ADOE adapts to each source.
- 02 · Enrichment — Entities reconciled, hierarchies aligned, time series put on one timeline.
- 03 · Storage — Open formats on the Lakehouse, versioned for traceability and audit.
- 04 · Streaming — A tailored data product per consumer, not one flattened table.
- 05 · Consumption — Agents, models, and dashboards draw through governed interfaces.
- 06 · Monitor & govern — Anomalies, schema drift, and upstream breaks caught before decisions run on them.
If you already have a lake, a warehouse, or a fabric
ADOE reads from it. It doesn't replace it.
Whatever 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.
Snowflake · Azure Synapse · AWS Redshift · Google BigQuery · Cloudera · Delta Lake · Iceberg · Legacy warehouse · Data fabric
Open formats — portable by design · Governed through Unity Catalog · First domain live in weeks, not quarters
Learn more
- ExternalA2go on Databricks — The customer story Databricks published on the apps A2go runs on its platform.
03 · Approval-ready recommendations
What lands on a planner's screen.
Coordinated supply chain agents reason across data, rules, tradeoffs, and constraints — then hand your planner a decision package, not a notification. The recommendation, what triggered it, what else was considered, and what it's expected to do.
- Judgment stays human. Full tradeoff visibility and override authority at every step. We remove the friction around the decision, not the decision-maker.
- Approved actions write back. Straight into ERP, WMS, planning, and execution systems, with a full audit trail attached.
- Promote what you trust. As projected outcomes prove out cycle after cycle, you choose which calls run without review. You set that line, and you can move it back.
Example decision package · Illustrative
Pending approval · Order promising · Plant 2 · REC-104287 · 14:12
Pull 1,240 units of SKU 88-4102 forward to the Thursday run.
| Trigger | Distributor sell-through up 18% week over week; Plant 1 line 3 down for planned maintenance Thu–Fri. |
|---|---|
| Alternatives | Hold and expedite after the outage — adds freight cost, misses two promise dates. · Partial allocation — leaves three Tier 1 accounts short. |
| Expected impact | OTIF held on all Tier 1 commitments · expedite freight avoided · Plant 2 utilization improved on an open changeover window. |
| Rules applied | Allocation policy: Tier 1 accounts protected · Minimum changeover 8 hours · Safety stock floor unchanged. |
| Coordinated with | Demand sensing · master production scheduling · inventory · capable-to-promise |
| Actions offered | Approve · Override · Show the reasoning · Send to S&OP |
Learn more
- Deep diveAnatomy of a decision package — What goes into a recommendation, and how a planner reads it in under a minute.
- ReferenceThe Decision Library — Browse the decisions agents produce across forecasting, planning, inventory, and order promising.
- FAQFrom review to automatic — How teams decide which calls stop needing approval — and how to move that line back.
04 · The Judgment Layer
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.
| Stage | What happens |
|---|---|
| Traces — how it's captured | 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 — where it goes | Priorities under load, supplier and allocation rules, lead-time and SLA guardrails, escalation policy — accumulated into a memory unique to your company. |
| Governed decisions — how it's used | The next recommendation reflects how you actually decide. Approved overrides become reusable playbooks, available across the next disruption. |
The loop: More usage → More traces → Sharper agents → Better decisions → (repeats, compounding every cycle)
Standard cases · Volume
Build the baseline fast
- High-frequency, predictable scenarios
- Quick accuracy, early confidence
- Where adoption starts
Edge cases · Depth
Where the value actually is
- Exceptions, overrides, conflicts
- The calls that need real judgment
- Where your institutional knowledge is captured
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. This is the piece no chatbot or generic assistant delivers.
Learn more
- Deep diveHow we capture tribal knowledge — Traces, decision memory, and the loop that compounds with every approval.
- FAQStandard cases vs. edge cases — Why the exceptions are where your institutional knowledge actually lives.
05 · No rip-and-replace
Nothing migrates. Nothing gets replaced.
Read it bottom to top. Your stack stays exactly where it is; everything A2go adds sits above it, and approved decisions come back down into your systems of record.
- 05 · Human oversight — Your people approve, override, and govern. Every override becomes a signal the system learns from.
- 04 · The Judgment Layer — Your rules and your planners' expertise, encoded — compounding with every decision.
- 03 · Coordinated agents — Purpose-built supply chain agents across forecasting and planning, operational planning, supply and inventory, and OTIF.
- 02 · ADOE — Existing sources reconciled and streamed as governed, AI-ready data products with full lineage.
- 01 · Your existing stack — unchanged — ERP · WMS · OMS · planning · commerce · execution. Built on Databricks, Unity Catalog, and the Lakehouse.
No migration, no central rewrite · First domain live in weeks · Start with one decision, expand on your roadmap · Add or retire a system without interrupting the agents
What you get
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.
- 01 · 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.
- 02 · Operational agility — Disruptions get detected, sized, and answered in the same shift instead of across a week of meetings and reconciliation.
- 03 · Financial impact — Every agent is tied to a measurable financial metric — service level, working capital, avoidable cost — so value is attributable, not assumed.
- 04 · 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.
Where we fit
Built for complexity you didn't choose.
- The profile — Manufacturers and distributors moving physical goods, where demand planning, inventory, procurement, scheduling, and fulfillment decisions carry real financial consequence.
- The complexity — Multi-site and multi-ERP environments, systems accumulated through acquisition, high SKU counts, constrained capacity, and regulatory obligations that don't bend.
- The signals — 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.
Start here
Bring us your worst decision of the month.
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.
What the session looks like
- 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