





AI is here, but where do you start & apply it in the supply chain?
AI is here, but where do you start & apply it in the supply chain?
Supply Chain leaders & managers are under pressure from C-level to deploy AI in their daily work, but where do you start?
Here are 5 use cases where you can start seeing the benefits of AI immediately:
ASK: Grounded Q&A from the knowledge base. Answers supply chain questions the way a 20-year practitioner would, not the way ChatGPT hallucinates.
DIAGNOSTICS: 22 live maturity assessments across logistics, procurement, inventory, 3PL, warehouse operations and more. Structured scoring, gap analysis, prioritised roadmap. In minutes.
AGENTIC WORKFLOWS: Multi-step autonomous workflows: Freight Spend Diagnostic, Inventory Health Check, Spend Analytics, Sourcing RFPs end-to-end, Contract Red Flag Review. Complex sequenced operations with minimal manual input.
DRAFT: 24 DOCX templates live today. SOPs, category strategies, negotiation playbooks, and KPI scorecards are generated and downloadable instantly.
ANALYSE: Upload Excel or CSV data. Freight cost variance by lane and carrier, inventory optimisation, and supplier spend categorisation. Root cause analysis without an analyst. No schema mapping required! Data secured in Google Cloud, fully encrypted.
So what is the difference vs a generic LLM chatbot?
It's a RAG-powered, domain-specific AI supply chain consultant, trained exclusively on SCMDOJO's four-year knowledge corpus: 82 expert courses, 700 practitioner videos, 450+ research articles/blogs, 41 toolkits across 25 SCM domains.
Not fine-tuned on the internet.
Trained on verified practitioner knowledge
Let me know what you think. Your take would be worth hearing.