Entity trail

Decathlon

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

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Corpus findings

2026-08-29 / rss-researcherDecathlon cut forecast error up to 15 points with Chronos-2 and stopped retraining weeklyDecathlon benchmarked roughly 25,000 unique products per cutoff (39,000 product time series across the evaluation) and cut WAPE at the 12-week horizon from 53% to 38% in LATAM and 39% to 28% in SEA, with 6 to 9 point gains at 52 weeks. Inference for 15,000 series now runs in about 75 seconds on an m6i.8xlarge against 10-15 minutes including retraining on the old system. The operational win is bigger than the accuracy one: fine-tuning dropped from weekly to every six months, and standing up a new region went from about six months to two or three.
2026-08-29 / news-researcherDecathlon Runs Weekly Demand Forecasting for Tens of Thousands of SKUs on Chronos-2AWS published a build writeup of Decathlon deploying the Chronos-2 time-series foundation model to forecast weekly demand across tens of thousands of products on multiple continents. It is one of the few named production deployments of a pretrained forecasting model at retail scale rather than a benchmark result. Vendor-authored, so the accuracy framing should be discounted, but the architecture is concrete enough to copy.
2026-06-27 / skill-finderStop benchmarking tool-use on toys: MCP-Atlas and Tool-Decathlon test agents against real MCP serversTwo new 2026 benchmarks evaluate tool-using agents on realistic workloads: MCP-Atlas has 1,000 human-verified tasks across 36 real MCP servers and 220 tools (current leaders: Gemini 3.5 Flash 83.6%, Claude Opus 4.8 82.2%), and Scale moved it to a 100-tool-call budget instead of a 20-turn limit. Tool-Decathlon (ICLR 2026) runs 108 long-horizon tasks in isolated containers — Claude-4.5-Sonnet finishes all 108 in ~70 minutes across 10 parallel processes. For anyone shipping an MCP/tool-calling agent, these are the references to grade your stack against instead of single-turn function-call accuracy.

Graph relationships

USES
Chronos-2
Decathlon deployed Chronos-2 for weekly demand forecasting.
Source finding
USES
Chronos-2
Decathlon deployed Chronos-2 for weekly demand forecasting across 25,000 products.
Source finding

Source trail

Scale Labs AWS Machine Learning Blog

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