Retailers Utilize Weather Analytics

By Nicholas P. Brown

(Reuters) – Big-name retailers such as Walmart (NYSE:WMT) are increasingly using analytics to blunt the impact of one of the most unpredictable performance variables of shopping: weather. Weather data, once used strictly for inventory planning, is now helping retailers localize advertising and decide when to discount seasonal items such as sweaters.

Walmart, whose inventory planning with artificial-intelligence software incorporates weather analysis, reduced sunscreen prices a couple weeks earlier than usual this year in parts of the U.S. Weather data forecasting a wetter-than-usual autumn in some U.S. regions was a factor in its decision, whereas several years ago, it likely would not have been. Kirby (NYSE:KEX) Doyle, a skin-care category replenishment adviser to the world's biggest retailer, stated, "In the beginning, (weather data) was just a forecast model for high-level planning. Now we’re infusing it into pre-season planning and throughout the season to diagnose the impact of weather, and for things like scheduling promotions."

Walmart declined to comment. A niche group of weather consultants — from Germany's Meteonomiqs to U.S. firms Planalytics and Weather Trends International — is using breakthroughs such as cloud computing to process once-unimaginable amounts of data. Demand for such data is growing amid heightened weather volatility due to climate change. The National Retail Federation, chaired by a Walmart executive, issued a report with Planalytics in July, recommending retailers pay more attention to weather analysis. New weather-data tools centered on pricing may soon be hitting the market, with Planalytics and BearingPoint, a management consultancy, partnering to build software retailers can integrate into their analytical models for setting prices.

> "Weather is something you can’t control," BearingPoint managing consultant Ryan Orabone stated at an industry workshop last month to unveil the new initiative. "But you can control the analytics. And pricing, you absolutely control."

It is natural for a warm October, like this year's in the U.S., to cause retailers to sweat ahead of the holidays. "It needs to get cold for our business to really perform well in Q4,” Tractor Supply (NASDAQ:TSCO) CEO Hal Lawton said last month on a quarterly call. The company sells cold-weather products like heating pellets and outerwear, and utilizes weather analytics to decide whether to discount winter items. Planalytics CEO Fred Fox noted that if November temperatures in the U.S. drop below 2023 levels – which forecasts suggest is likely – a discount now could mean a missed opportunity later.

As intuitive as that may seem to a retailer, they do not always get it right. In August, Lowe's (NYSE:LOW) Chief Financial Officer Brandon Sink cited cold, wet weather in May as the reason for weaker sales in the prior quarter. However, Bill Kirk, founder of Weather Trends, pointed out that May was indeed wet, but it was also the hottest May in six years for the U.S. "Welcome to the world of retail excuses not based on facts," he remarked. Lowe's did not respond to a request for comment.

RISING TEMPS, RISING DEMAND

About every three weeks in the U.S., a natural disaster causes $1 billion or more in damages, according to the U.S. National Oceanic and Atmospheric Administration, up from once every three months in the 1980s. Planalytics, which uses computer models to help retailers understand how weather affects sales, is on pace to provide clients with twice as many models in 2024 as last year — a ninefold increase since 2019, said Evan Gold, the company’s executive vice president of partnerships. Retailers typically see weather's impact in foot traffic and sales.

Stefan Bornemann, head of Meteonomiqs, whose clients include retailers using the e-commerce platform Shopify (NYSE:SHOP), noted that the impact could grow more significant given severe weather patterns. Kirk has analyzed how sales for a product rise or fall with each degree of temperature change — sales of horse blankets rise 7% per degree colder and Starbucks (NASDAQ:SBUX) coffee sales climb 2%.

Some clients use Kirk's data for dynamic pricing, adjusting prices to demand. If a sales season appears notably weak, clients may implement small markdowns early, rather than larger ones later to clear excess inventory. Kirk argues that the days of retailers using weather as an excuse for a poor earnings season should be over. “Wall Street hates that excuse,” he said. “What you’re saying to your investors is, ’We can’t control our business.’”