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DataFunTalk
DataFunTalk
May 13, 2026 · Artificial Intelligence

How a 0.5 MB AI Model Tackles Global Supply‑Chain Challenges: Li‑Net in Action

Li‑Net, a 0.5 MB multi‑channel time‑series model co‑developed by SF Technology and Chinese universities, achieves state‑of‑the‑art accuracy with linear‑complexity attention, runs on edge devices, and has been deployed across SF's global supply‑chain for demand forecasting, inventory optimization, and capacity planning, delivering measurable cost reductions.

AILi-NetSupply Chain
0 likes · 4 min read
How a 0.5 MB AI Model Tackles Global Supply‑Chain Challenges: Li‑Net in Action
DataFunSummit
DataFunSummit
May 12, 2026 · Artificial Intelligence

How a 0.5 MB AI Model Tackles Global Supply‑Chain Challenges: Li‑Net Technology and Applications

The article presents Li‑Net, a 0.5 MB lightweight time‑series model co‑developed by SF Technology and universities, accepted at ICDE 2026, which overcomes multi‑channel, non‑stationary, multimodal forecasting difficulties, achieves state‑of‑the‑art accuracy with low latency, and is deployed across SF’s global logistics to improve demand, inventory and capacity planning while cutting costs.

Li-NetSupply Chainedge deployment
0 likes · 4 min read
How a 0.5 MB AI Model Tackles Global Supply‑Chain Challenges: Li‑Net Technology and Applications