1000s
of feedstocks priced against live market data
5-10%
margin protected from price swings
<6 mo
to positive ROI
EXAMPLE USE CASES
Built for the chemistry of margin
01
Feedstock forecasting
Demand and price forecasts by feedstock, with buy-ahead recommendations when the model sees a move coming.
02
Material price intelligence
Market prices tracked across thousands of inputs and modeled into real landed costs, so every negotiation starts from should-cost.
03
Commercial opportunity identification
New demand found for chemistries you already run: adjacent applications, underpriced products, customers buying elsewhere.
04
S&OP planning
The monthly plan assembled from live demand, capacity, and inventory data instead of a two-week spreadsheet scramble.
A DAY WITH THE WORKFORCE
A feedstock spikes overnight. Here is what happens.
01
The agent catches the move in the overnight market data and models the landed-cost impact across every formulation that uses it.
02
By 8 am your team has a brief: which products are exposed, what it does to margin, and a recommended buy or reformulation play.
03
Approved with one reply. The agent drafts the POs, notifies the affected account managers, and updates the S&OP numbers.
04
Every action is logged in the audit trail, and the pricing team sees the full picture in the tools they already use.