Industries
Decisioning by vertical: apparel, beauty, grocery, DIY, furniture, sport and footwear.
7 articles
Size-curve decisions: why footwear retail needs its own logic
Footwear is a size-matrix problem. A style with units left but a broken size run is dead on the floor — yet most systems still count aggregate units.
Sport retail runs two inventory logics at once
The core wants continuous replenishment; the seasonal drop wants sell-through and markdown. Run both on one logic and you lose on both walls.
Big-ticket retail: slow turn inverts the playbook
In furniture and big-ticket home retail, slow turn and heavy logistics amplify the cost of every wrong allocation and late markdown.
AI grocery decisions: why perishables break the order model
In grocery, the question was never how much to order. It is how much to order given spoilage, shelf-life, and the markdown clock running all day.
Managing the DIY long tail: slow movers and project baskets
In DIY retail, cutting a slow-moving SKU can lose the whole project basket. Velocity per SKU is the wrong lens for a long-tail catalogue.
AI assortment and allocation in beauty retail
Beauty's SKU explosion makes assortment and store-level allocation the make-or-break calls. Here's why spreadsheets break and what a decision layer changes.
AI Buying Agent Fashion Retail — Solya, Decision Runtime
An AI buying agent for multi-store fashion retail that decides + explains + executes. 4-layer architecture, native PoS integration, 4-week deploy.