SiloIQ is an operational intelligence platform built for multi-location retailers. It monitors inventory, pricing, promotions, and sell-through across your operation and surfaces the decisions that need attention before they become problems.
When you are managing thousands of SKUs across multiple locations, the data is there. The challenge is keeping up with it. Inventory shifts, promotions run, margins move, and sell-through rates change week to week. SiloIQ monitors all of it and brings forward what needs your attention.
Not dashboards to interpret — decisions your team can act on immediately. Tap any capability to learn more.
SKU-level and category-level demand forecasts across a 4–8 week horizon. Seasonal patterns, trend signals, and uncertainty bands included — high-variance SKUs flagged, not hidden.
Uplift estimation vs baseline for every promotion run. Incremental revenue separated from timing shifts. Know what worked, what was noise, and what to scale.
Monitors inventory velocity, slow-moving stock, replenishment timing, and SKU-level risk across every location — surfacing reorder opportunities before stockouts occur.
Ranks operational risks, surfaces high-priority decisions, and reduces signal noise — compressing the time between a problem emerging and your team acting on it.
Every SKU continuously scored for stockout risk and dead stock risk. See what needs attention before it becomes a lost sale or a write-off.
SKU-level and category-level forward demand forecasts with seasonal patterns, trend signals, and confidence bands. your team plans ahead instead of reacting to what already happened.
Mid-market retailers with 5–100 locations, lean category teams, and operational complexity that has outpaced their current tools. Tap to explore your category.
High SKU counts, rapid product turnover, promotion-heavy environments, and category complexity. SiloIQ surfaces operational risks and priority decisions across supplement, nutrition, and wellness categories. lean teams stay ahead of the complexity.
Localized demand patterns, inventory sensitivity, thin margins, and assortment complexity. SiloIQ gives independent and regional grocery operators the operational intelligence layer that enterprise chains have always had.
From pet retail to cosmetics and lifestyle, specialty retailers face assortment decisions at scale with lean teams. Silo IQ continuously monitors performance by location, category, and SKU and tells your team what to act on.
Regulated inventory, category complexity, and location-specific assortment needs. SiloIQ monitors operational risk across pharmacy and health retail categories — surfacing the decisions that protect both margin and patient-facing availability.
SiloIQ is designed for rapid deployment with minimal organizational disruption. No large implementation teams. No lengthy onboarding projects. Your operation keeps running from day one.
A structured conversation about your locations, SKU complexity, category workflows, and operational priorities. We map where SiloIQ delivers the most immediate intelligence value and what a successful pilot looks like for your team.
SiloIQ connects to your existing POS, inventory, and merchandising infrastructure. The integration is designed for operational continuity with no changes to your current systems, no disruption to your team.
Shortly after connection, SiloIQ delivers your first operational intelligence output — surfacing risks, anomalies, and priority decisions from your actual data. You see the value before committing to anything.
SiloIQ runs continuously — monitoring your operation, detecting signals, and surfacing priority decisions on an ongoing basis. Your team stops searching for problems and starts acting on them.
These are not Silo IQ projections — they are published benchmarks from independent research on AI-powered inventory and demand intelligence across retail.
McKinsey research shows AI-driven forecasting reduces demand errors by 20–50% compared to traditional methods, translating directly into fewer stockouts and less excess inventory.
Source: McKinsey Global Institute, 2023
IHL Group estimates global retailers lose $1.77 trillion per year to combined stockouts and overstock — representing 7.2% of all retail sales. This is retail at scale Silo IQ exists to solve.
Source: IHL Group Inventory Distortion Report, 2023
Out-of-stock events cost retailers 4.1% of total sales — a devastating figure when the average retail net margin is just 1.6%. A single percentage point improvement in inventory management can increase profitability by over 60%.
Source: IHL Group / Purdue University, 2024
Every retail operation has unique complexity. Tell us about your locations, team, and operational challenges and we'll show you exactly what SiloIQ surfaces from your data before you commit to anything.
We'll schedule a discovery call and walk you through a live demo tailored to your category.
No commitment. No pricing pitch. Just a conversation about your data.