Shift from Reactive to
Proactive Inventory Management
Identify supply disruptions up to 12 weeks in advance, know their severity, and see exactly what action to take to prevent the outage.
Continuity AI by Sightline OS
The reasoning layer behind every escalation.
Predict and prevent out-of-stocks before they require fire-fighting, eliminate waste with automatic flagging of at-risk inventory, and identify the root cause and drive performance improvements.
Continuity AI Features:
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Catches stockouts before they happen, and flags compounding risk later in the horizon
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One number quantifying the severity of an outage based on the days a product will be out of stock, the number of stores impacted, and total cases that will be shorted
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A concrete recommendation on what action your distributor should take today to prevent the outage
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When to act and the realistic recovery date to expect
Built For Your Distributor Network
Sightline OS was built to seamlessly map and centralize real time data across multiple distributors — so your inventory and spend is immediately and intuitively aggregated and organized.
Sightline connects directly with your distributor— no client tech resources required, no franchisee sign off.
"I've used many different tools in supply management, and nothing compares to Sightline OS' inventory management and forecasting tools."
— Buna Mam, Supply Chain Manager, Bonchon Korean Fried Chicken
Track performance
Supplier and DC performance is tracked through scorecards and stack-ranking reports, addressing the root cause of chronic issues
After implementing Sightline OS, Din Tai Fung saw a 25% decrease in priority SKU out-of-stocks
FAQs
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Sightline OS gives supply chain teams proactive, end-to-end inventory control. Sightline identifies supply continuity risks up to 12 weeks in advance and works to keep items above safety stock levels — eliminating most firefighting and significantly reducing out-of-stocks before they happen. When a restaurant short or substitution does occur, Sightline immediately surfaces the impact and root cause so teams can resolve issues fast. Supplier and distribution center performance is tracked through scorecards and stack-ranking reports, giving you clear visibility into where problems are coming from. And to protect margins, Sightline automatically flags excess stock and dead stock so restaurants can eliminate waste before it hits the bottom line.
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Yes — though purpose-built options designed specifically for the restaurant and foodservice industry are rare. Most forecasting tools are either generic supply chain platforms that require heavy customization, or legacy restaurant systems that use basic formula-based models rather than true machine learning. Sightline OS was built specifically for this gap — delivering ML-powered demand forecasting that continuously learns from your owned historical data, adapts to seasonality and trends, and produces stable, high-accuracy forecasts without constant manual input. For restaurant and foodservice teams, that means smarter ordering decisions, fewer stockouts, and less excess inventory — all driven by models that get more accurate over time.
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Supply chain management software helps restaurants plan demand, manage inventory, and control costs — replacing slow, manual processes with data-driven, modern software. For restaurant chains and food service businesses, this means real time monitoring for supply continuity risk across the supply chain, more accurate production planning, and tighter control over food costs and waste. The result is a supply chain team that is proactive versus reactive, driving profitability for the business.
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The best way to see Sightline OS in action is to request a demo directly. During the demo, our team will walk you through how Sightline's forecasting, inventory optimization, and COGS management works for your specific supply chain needs — and walk you through pricing based on your business size and requirements.
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Sightline OS gives restaurant supply chain teams a smarter, more proactive way to manage inventory and demand. At the core is machine learning-powered forecasting that continuously learns from your data — adapting to seasonality, sales trends, and demand shifts automatically, without manual rule-setting or constant maintenance. That forecasting feeds directly into inventory optimization, so your team always knows what to order, when to order it, and where risks are building — up to 12 weeks in advance. The result is fewer stockouts, less waste, tighter COGS control, and a team that spends less time reacting and more time on strategic work that actually moves the business forward.