A2Go

Forecasting & Planning

Forecasts that Improve Themselves

ADIP’s forecasting agents continuously evaluate forecast accuracy at the SKU and location level, surface bias, and recommend the segments where adding consensus inputs or external signals will move the needle most. Demand sensing for the segments that need it; classical statistical methods where they’re still better. The agents pick.

Anchored to the SCOR® Plan process, with KPIs that map directly to your existing forecast-accuracy and demand-planning scorecards — not a parallel metric system you have to defend internally.

On the build board · Phase 2

Coming next: Solution detail — agent inventory, KPI mapping (Forecast Accuracy, Bias, MAPE-by-segment), deployment patterns, and customer outcome cases.

Why A2Go

A2Go (Analytics2Go, Inc., operating as Agents2Go.ai) builds AI-powered decision intelligence for supply chain operations. ADIP — the A2Go Decision Intelligence Platform — is supply chain intelligence built from the ground up. Not generic AI bolted onto your stack. Not a rip-and-replace. A purpose-built decision layer that sits on top of your ERP, planning, and analytics systems and goes to work in 90 days.

Heritage

Rooted in the SCOR® Standard

The Supply Chain Operations Reference (SCOR®) model is the global standard for evaluating and comparing supply chain performance. A2Go was founded by practitioners who contributed to the original SCOR model at PRTM Management Consultants — now the SCOR® Digital Standard v14.0, managed by ASCM. That heritage is the DNA of every agent in ADIP. Learn about SCOR at ASCM

While you wait

The legal and trust posture is fully published. Here's what you can read today:

Want to be first to see it ship?

We post the build openly — new agents, case work, and SCOR®-aligned breakdowns — on LinkedIn first. Follow A2Go to see this page (and the rest of the build) the day it ships.

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