How tarrifs, supply chains and knowledge graphs combine.
Size: 7.23 MB
Language: en
Added: Mar 07, 2025
Slides: 40 pages
Slide Content
Supply Chain Management @ Yeti Coolers
Suppliers Manufacturing Warehouse Retail
SKU: Plastic
Site: Supplier, China
SKU: Plastic
Site: Supplier, Vietnam
SKU: Yeti Cooler
Site: Warehouse, Boston
SKU: Yeti Cooler
Site: Store, NYC
SKU: Yeti Cooler SKU: Pallet of Yeti Coolers
Site: China or Vietnam
Make Pack
Source
Source
Ship Truck
Plastic Moulding Machines Labor
Each part of the supply chain fulfill
demands, making intelligent decisions
on: What, How, When, Where and Why
The Supply Chain as Tables
The Supply Chain as a Relational Knowledge Graph
Relational Data Model Relational Knowledge Graph
Join → Relation Mapping
Named Relation
Table → Entity Mapping
Entity
Entity
Decomposed Entity
Entity
Externalized Relation
What is a Knowledge Graph?
1.Data: Nodes, Relationships, Properties, and Types
○Name is a string, DOB is a date, address is structure of strings and numbers, picture is a bitmap
○Person is named John, John was born in 1993, John lives in Atlanta, John looks like this ??????
2.Queries: “views” defined with queries, equations, and invariants
○Age = today - DOB – we can use queries to produce “data” or facts
○Person has only 1 DOB — it’s a rule/constraint/invariant
○Person has only 1 age – knowledge can be used to infer “know knowledge”
3.Intelligence: “views” using reasoning
○What is your age? Probably the average of your friends? (graph analytics)
○What is the fastest way to ship something below cost threshold? (solver based reasoning)
○What products will this person buy next week? (neural or probabilistic reasoning)
○Graph Analytics, Rules Based Reasoning, Prescriptive Analytics, Predictive Analytics
with Relational AI on Snowflake
An Intelligent Supply Chain Knowledge Graph
Add Business Logic
Using rules to connect the dots and derive rich context
Aggregate data over relations
Derive meaningful relations
Impact of Tariffs
China
Graph Analytics
Leveraging graph algorithms for deeper insights of the Supply Chain
Reachable Algorithm
Prescriptive Analytics
Mathematical Optimization
Optimized Supply Chain Plan
Predictive Analytics
Graph Neural Networks
Embeddings that capture the
information in the graph
How much demand will we
have next summer?
Classification
Link Prediction
Regression
What’s the
difference…
between
Predictive and
Prescriptive
Analytics?
I Decide
I Predict
Machine
Learning
Mathematical
Optimization
Talk to your Graph
Natural Language to
Relational Knowledge Graph Queries (Preview)