The platform provides a consolidated suite of data‑driven analytical components covering suppliers, markets, commodities, and macroeconomic dynamics. Each module is designed to support structured decision‑making through publicly available data, transparent methodologies, and consistent analytical standards.

Provides structured, data‑driven assessments of supplier exposure across geographies, sectors, and operational domains. The module integrates publicly available risk indicators, sector‑specific benchmarks, and custom client inputs to support continuous supplier monitoring and early‑warning detection.

Automated monitoring of global macro, geopolitical, financial‑market, and commodity‑related news flows. The system applies AI‑based relevance scoring, thematic classification, and summarisation to deliver timely alerts aligned to predefined topics and user‑selected risk domains.

An embedded analytical interface enabling natural‑language queries across structured datasets, benchmark libraries, and news streams. The module supports rapid retrieval of insights, contextual explanations, and data‑driven comparative analysis within the platform.

Curated sets of internationally recognised macroeconomic indicators covering growth, inflation, trade, labour markets, monetary conditions, and fiscal metrics. Benchmarks include regional and sectoral comparisons, long‑run time‑series analysis, and cross‑country reference points for expert‑level assessments.

Provides structured reference data on key global commodities, including energy products, metals, and agricultural inputs. Benchmarks include price levels, spreads, volatility indicators, and historical time‑series to support comparative evaluation and trend analysis.

Delivers multi‑horizon price projections based on publicly available macroeconomic assumptions, market fundamentals, and scenario‑based drivers. Forecasts support strategic planning, capital allocation, and sensitivity testing under alternative market conditions.

Enables systematic stress testing of commodity exposures and macro‑linked drivers. Users can adjust key variables—such as demand, supply, interest rates, or policy assumptions—and quantify the resulting impact on prices, benchmarks, and risk indicators.

Provides structured, high‑frequency insights from publicly available market data, trading indicators, and sector reports. The module consolidates signals on liquidity, volatility, positioning, and market‑moving events to support expert interpretation and decision‑making.
Siller — Established 2015 Austria
Company Name: Siller Handels GmbH
Address: Gemeindeweg 47, 3422 Altenberg, Austria
Company Register Number: FN 442495 d
VAT Number: ATU69992868
Siller is the consulting brand of Siller GmbH.
Siller GmbH is a limited liability company under Austrian law. The information provided on this website is for general informational purposes only and does not constitute professional advice. Siller GmbH accepts no liability for any actions taken based on this information.
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