S5 Stratos handles retail merchandising decisions: what to stock, what to spend and where to send it. Named modules cover assortment planning, merchandise financial planning and allocation optimisation, with omni-channel inventory visibility and product lifecycle management from preview through introduction, markdown and exit.
Embedding data science inside the planner’s workflow rather than beside it is the right architecture for this. Merchandising decisions are made against a calendar that does not move, and a recommendation that lives in a separate analytics tool gets consulted for a fortnight and then ignored under deadline.
The Texas company sells to major retailers and CPG companies and publishes no pricing. This is enterprise planning software: implementation is a programme, it depends heavily on the quality of the historical data behind it, and allocation recommendations are only as good as the demand signal feeding them.
