Serve up precision: Turn weather volatility
into a restaurant advantage

Even subtle weather changes impact restaurant sales, with moderate rain triggering a 12-15% drop in foot traffic and an 18% delivery surge1. Pelmorex Weather Source provides the predictive intelligence to anticipate these swings and optimize your labour, inventory and marketing for a healthier bottom line.

Where weather meets your bottom line

Pelmorex Weather Source: The definitive platform for weather-optimized restaurant management.

Proven demand accuracy

Achieve up to a 12% lift in demand forecast accuracy by moving beyond historical averages with weather-driven demand models

150+ experts - unmatched expertise

An expert team of meteorologists, data scientists and engineers decoding complex weather signals into actionable operational insight

Measurable ROI at scale

Our partners realize millions in annual savings through optimized labor planning and reduced food waste

Hyper-local precision

OnPoint® weather data delivers insights down to the exact doorfront of every restaurant location

Bridging the gap between weather and ROI

Optimize labour & protect margins

A waitress presenting a menu to a family seated at a table outdoors in a restaurant.
Stop staffing by the calendar and start scheduling by weather. Reduce payroll inflation and ensure a premium guest experience even as wages rise. Leverage predictive intelligence to align your labour with actual foot traffic — eliminate costly overstaffing while preventing service gaps during surges.

Master inventory & reduce waste

Two chefs working in a kitchen, one plating food while the other prepares ingredients.
Food waste costs the industry billions every year. Integrate weather-informed demand insights into your inventory management systems, to move from intuition-based ordering to demand-sensing replenishment. Increase orders for cold beverage and salad inventory ahead of a heatwave, or scale back perishables before a storm hits.

Unlock contextual marketing

Woman wearing a yellow raincoat, standing by a tree and looking at her smartphone in a park setting.
Activate hyper-relevant campaigns that reflect your customers’ reality in real time. From “rainy day delivery” push notifications to “heatwave happy hour” promotions, weather-triggered messaging maximizes conversion and return on ad spend (ROAS).

The weather intelligence layer behind your restaurant strategy

Explore our products that turn insight into action
Woman with red hair reaching for items on a shelf in a grocery store while holding a bag of kale.

Gaia Retail

Gaia Retail

A proprietary weather-led demand model providing hyper-local, SKU-level demand forecasts tailored to your restaurant operations.
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OnPoint® Weather Data Suite

OnPoint® Weather Data Suite

The foundation for precision decision-making. Access historical, real-time and forecast data designed specifically for analytical modeling and operational planning.
Learn more

Our solutions in action

Efficiency at scale

Managing dozens of diverse restaurant brands like Jack Astor’s and Scaddabush requires moving beyond historical sales data. SIR Corp partnered with Pelmorex Weather Source to bring predictive intelligence to their 55 Canadian locations.

  • The challenge: Relying primarily on historical sales left managers vulnerable to weather-driven swings in traffic, leading to inefficient staffing and unnecessary food waste
  • The strategy: SIR Corp integrated Gaia Retail predictive insights into their sales forecasting models to account for real-time and forecasted weather impacts
  • The outcome: By integrating weather intelligence , they achieved a 5% lift in forecast accuracy and significant improvements in both food waste and labor costs
  • The result: $150,000 saved in just four weeks, totaling $1.8 million in annualized cost savings
Interior of a restaurant featuring a bar area and multiple screens displaying sports events.

"We are now actively using Pelmorex Weather Source in our sales forecasting models. This is allowing us to be predictive for the first time."

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