Platform architecture
The supply chain brain, module by module
Nine intelligence modules on one neural pipeline — digitize, rationalize, understand, decide, ask — sitting on ERP and MES, not replacing them. Knowledge-graph connected. Explainable by design.
Analytics
Three systems. One number. Ninety minutes.
KPIs, classifications and trends across demand, inventory, production and suppliers — the layer every other module reads from.
AI Prediction
The shortage was predictable.
Demand, delay risk, capacity and lead time — forecast from your own history, with the query shown before it runs.
Planning
Three plans. None of them agree.
Demand, inventory, procurement and production on one connected plan — instead of three that disagree by Thursday.
Optimization
Your safety stock was set in 2019.
Reorder point, safety stock and EOQ, recomputed from what actually happened — then schedule and supplier allocation to match.
AI Decisions
Dashboards report. We recommend.
Which supplier, what it costs, what to do — explained well enough that your planner can overrule it. AI proposes; a planner approves.
Digitalization
Someone is re-keying that PDF.
Contract PDFs and scans become structured data — read in place, never copied off your share.
Master Data
You just bought a part you already had.
Same part, three item codes. ExlAthena finds every version — with evidence, health scoring, and on-network models.
Document Intelligence
The answer is on page 47.
Ask contracts, SOPs and manuals a question — every answer quotes the page it came from. Can run entirely inside your network.
Plain-English Reports
Your question became a ticket.
Ask in plain English — fields picked, SQL written, and the SQL shown to you. Pin the result to a dashboard.
Nothing here needs the whole platform to be useful. Start with one module, not nine — often the item master, because proof arrives fastest.