Commodity Intelligence

Commodity

An innovative approach to present, market insights on domestic & international trades, supply & demand analysis, seasonal dynamics, weather outlook, trade policies, speculations, expert analysis through our commodity outlook, price outlook & price forecasting. These outlooks give you precise, in-depth & real-time information, in-line with your business need.

Key features of Commodity Outlook, Price Outlook& Forecast:
  • Distinct Approach
  • In-Depth Analysis
  • Ease to understand
  • Robust Data
  • Information through proven sources
  • Unbiased
  • Covers all procurement strategies

Commodity Outlook:

Commodity Outlook (Agri & Non-Agri):​

S2G covers the leading commodities in Agri and Non-Agri territories and has a distinct identity in procurement, research & price forecasting domain. Our outlook & forecast reports shall be released on a monthly basis.

  • Feed Commodities: Maize, DORB, Rapeseed Extraction,Cotton Seed Extraction,Cotton Seed Oil Cake,Soya Doc etc
  • Sugar Commodities: Molasses,Sugar,Bagasse, etc
  • Veg Oil & Seed: Palm Oil,Soy Oil,Rapeseed,Sunflower etc
  • Metal: Copper,Aluminium,Zinc,Lead & Steel
  • Energy: Crude & Bio Diesel
  • Polymer: PP,PE & PET
  • Currency: INR against leading nations

Commodity Price Outlook & Forecasting:

Commodity Price Outlook & Forecasting

 

A price outlook gives you past & prevailing price performance of commodities traded across the domestic & international markets. A price forecasting gives you future estimates of a particular commodity.

S2G prime focus to use a customize/diverse/unique/mixed approach to predict real-time future price estimates. Moreover, we emphasize fundamental & technical analysis. S2G believe customers will appreciate our precise, unbiased & error-free methodology which will give price forecast near to/close to the real-time market trend.

Define a problem – how the forecast will be used, who requires it, how it fits in the organization.

Gather information

Gather information – Multidimensional data along with influencing factors collected through reliable channels.

Preliminary analysis – Prepare statistics & analysis the trends, seasonality, influencing factors, rate most, average & least influencing factors

Preliminary analysis
business approach

Approach– Based on data and rating factors choose two-three models to forecast.

Forecast-horizon: We shall deliver -Short & Long terms price estimates.

Forecast-horizon

Self Assessment: to achieve excellence in price forecasting, we do frequent mapping of our estimated price range with actual/real-time price trends.