{"id":4052,"date":"2022-05-19T09:07:02","date_gmt":"2022-05-19T07:07:02","guid":{"rendered":"https:\/\/beta.forwardkeys.com\/forecasting-airport-traffic-and-shoppers-in-the-post-covid-era\/"},"modified":"2024-12-04T12:36:28","modified_gmt":"2024-12-04T11:36:28","slug":"forecasting-airport-traffic-and-shoppers-in-the-post-covid-era","status":"publish","type":"post","link":"https:\/\/forwardkeys.com\/es\/forecasting-airport-traffic-and-shoppers-in-the-post-covid-era\/","title":{"rendered":"Forecasting airport traffic and shoppers in the post-Covid era"},"content":{"rendered":"
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A new forecasting model in ForwardKeys\u2019 Traveller Statistics will help travel retail companies maximise marketing and sales success at a time when it is impossible to forecast accurately using historical data.<\/em><\/p>\n

For any modern travel-dependent business, forecasts play a crucial role in optimising planning and maximising revenue. However, in the current, post-Covid travel landscape, the historical trends on which most forecasting models are based are no longer the reliable resource they once were.<\/p>\n

Against this background, travel retail brands are finding it difficult to plan and operate efficiently. Knowing one\u2019s audience is fundamental to the success of any retailer, but lacking consistent trends to draw on, many brands and duty-free operators have been unable to target potential shoppers accurately.<\/p>\n

Without knowing their audiences, travel retail companies cannot make informed decisions on which products to stock, what activations and discounts to offer, how many employees to have on the shopfloor, and which staff members are needed based on the languages they speak. They also lack the information to decide which tenders for airport retail space to bid on, and how much to offer, based on future travel trends. In short, they cannot optimise marketing and revenue.<\/p>\n<\/div>\n

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