About SiloIQ

Retail intelligence built for
operators who need it most.

Founded in Toronto. Built for the retailers that enterprise software vendors have never prioritised.

Our mission

Operational intelligence shouldn't only be for enterprise.

Large retail chains have analytics teams, forecasting systems, and planning software that runs continuously. Most mid-market retailers are managing the same complexity with periodic reports and a lot of manual effort. That gap is what SiloIQ was built to close.

SiloIQ is an operational intelligence platform that gives mid-market retailers continuous visibility into their operation. No enterprise contract. No lengthy onboarding. No need to hire an analytics team.

The retail industry is entering an era where operational complexity routinely exceeds what any static reporting workflow can keep pace with. SiloIQ's position is to become the operational intelligence infrastructure layer for mid-market retail with always-on system that keeps operators informed, aligned, and ahead of the signals that matter.

What we stand for
Relevant right now

The value of intelligence comes from its timing. SiloIQ focuses on what is happening in your operation today, not a summary of last month.

Less noise, more signal

More data does not help if you cannot act on it. SiloIQ surfaces priorities, not just information.

Works around your operation

SiloIQ is designed to fit into how you already work. No restructuring, no new systems to learn, no lengthy onboarding process.

Straightforward about fit

Not every operation is the right fit for SiloIQ. We would rather tell you that upfront than oversell and underdeliver.

Industry evidence

The scale of the problem
is well documented.

These figures reflect the scale of retail at scale SiloIQ exists to solve — published by independent research organisations.

$1.77T
Lost annually to inventory distortion

Global retailers lose $1.77 trillion per year to combined stockouts and overstock — representing 7.2% of all retail sales. IHL Group, 2023

20–50%
Reduction in forecast errors with AI

AI-driven demand intelligence reduces forecast errors by 20–50% compared to traditional methods — translating into fewer stockouts and less excess inventory. McKinsey Global Institute, 2023

4.1%
Of retail sales lost to stockouts alone

Out-of-stock events cost retailers 4.1% of total sales — a significant figure when the average retail net margin is just 1.6%. IHL Group / Purdue University, 2024

Toronto, Canada

Based in Toronto.
Working with retailers across Canada.

Get in Touch