Demand Agent
Dahlia
Demand intelligence for deciding what should move before value decays.
Dahlia models inventory aging, shelf-life urgency, buyer demand, category fit, and channel confidence so Lily can prioritise recovery routes before disposal dependency rises.
STR
Buyer Fit
Aging
Urgency
Channel Fit
74%
controlled recovery fit
P1 Fresh
P2 Active
P3 Urgent
Distributor
Employee
Export
Catalog
What Dahlia Actually Does
01
Scores recovery urgency.
Reads shelf-life, batch, quantity, category, and market context to identify stock that needs routing before value collapses.
02
Finds where demand exists.
Compares buyer history, similar buyers, channel behaviour, active demand, and regional fit to avoid generic buyer blasts.
03
Feeds Lily and Sage.
Turns demand into ranked buyer segments and channel signals so Sage can allocate catalogues, campaigns, auctions, or store workflows.
