Agentic AI for Supply Chain Enterprises

We >> shift
your supply chain
with AI Agents.

RShift deploys agentic AI that connects to your SAP systems, Jira boards, meeting notes, and internal docs — turning trapped institutional knowledge into autonomous workflows that drive revenue.

Start a conversation See what we build
// your data, your context, your agents
01 from rshift import Agent
02
03 agent = Agent.connect(
04 sources=[
05 "sap://procurement",
06 "jira://supply-ops",
07 "notes://weekly-sync"
08 ],
09 model="claude-sonnet",
10 guardrails=True
11 )
12
13 agent.deploy() >> production

Your ERP, your data — straight into Claude

We use the Model Context Protocol (MCP) to connect Claude directly to your enterprise systems. Your team asks plain questions and gets real answers — no exports, no dashboards, no middleware.

01 >> User asks a natural language question
02 >> MCP server routes the query to your ERP
03 >> Claude reasons over live data and responds
claude — mcp-connector

Open source connectors from our work in the field

Epicor Eclipse ERP

Eclipse MCP Connector

Connect Claude directly to Epicor Eclipse — search inventory, query open orders, pull customer data and pricing in plain English. Built for wholesale distributors running Eclipse across 700+ companies.

Read the deep dive  >>
In progress

More connectors coming

SAP, Blue Yonder, Kinaxis, Coupa. Each connector ships as open source under the MCP standard.

Your supply chain runs on institutional memory that walks out the door

Your best decisions live in SAP transactions, Jira tickets, meeting notes, and Slack threads. None of it talks to each other. We fix that.

01

SAP / ERP

PO history, supplier performance, inventory data. Locked in T-codes nobody has time to query.

>> context
02

Jira / Tickets

Disruptions, workarounds, escalation patterns. Buried in tickets no one reads twice.

>> context
03

Meeting Notes

Decisions made in meetings, forgotten by Monday. Never reach the people who need them.

>> context
04

Slack / Email

Why that supplier got dropped. Why that SKU was pulled. The answer is in a thread from 2022.

>> context

AI agents built for supply chain operations

01

Autonomous Procurement Agents

Monitors POs, flags anomalies, surfaces supplier risk and drafts approvals. Your team reviews, not runs the process.

SAP MM → Claude → Action
02

Supply Chain Knowledge Layer

Your planners ask plain questions and get real answers. From your actual data, not a generic model.

Jira + Notes → RAG → Answers
03

Demand & Inventory Copilots

Combines ERP signals with real demand context. Flags stockout risk before it shows up in a report.

ERP + Context → Claude → Decisions

From discovery to production in weeks

01 — DISCOVER

Map your data landscape

We look at your SAP setup, tools, and workflows to find where an agent will actually make a difference.

>>
02 — CONNECT

Build the context layer

We connect Claude to your SAP, docs, and tools. The agent learns your business before it touches anything.

>>
03 — DEPLOY

Launch autonomous agents

Live in production, not a sandbox. Your team stays in control, we handle the iteration.

Context is the competitive advantage

✕ Generic AI consulting

Generic chatbots, no supply chain context
6-month POC cycles, never touches your ERP
Hallucinations because it hasn't seen your data
Platforms that layer on top, not connect inside
Locked in by year two

>> The RShift way

Trained on your SAP data, your SOPs, your history
Working prototype on real ERP data in two weeks
Production from day one, not a demo
SAP-native (MM, SD, PP, WM) by people who know it
Open standards. You own the stack.

Global delivery, local expertise

SAP Oracle ERP Microsoft Dynamics Snowflake Coupa SAP Ariba Blue Yonder Kinaxis Salesforce + your stack

Ready to unlock your enterprise data?

info@rshift.co