Prédiction réachat client et stratégie marketing pour retail

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Outil de prédiction de réachat client retail

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Traite les données de consommation historique du retail, prédit la probabilité de réachat du client dans 3 mois, sélectionne les utilisateurs à haut potentiel et génère des plans marketing personnalisés.

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Process 12 months of customer consumption records from a offline chain convenience store, calculate each customer's consumption interval, average order value and total consumption times features, predict each customer's repurchase probability in the next three months, screen dormant customers with repurchase probability over 60%, match each selected customer with a matching discount coupon outreach plan that fits their consumption preference, and organize the result into a clear executable table.

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Traite les enregistrements de consommation client de 12 mois provenant d'un chaîne de dépanneurs hors ligne, calcule les caractéristiques d'intervalle de consommation, de valeur moyenne de commande et de nombre total de consommations pour chaque client, prédit la probabilité de réachat de chaque client au cours des trois prochains mois, sélectionne les clients dormants dont la probabilité de réachat dépasse 60 %, associe à chaque client sélectionné un plan de diffusion de coupon de réduction adapté à ses préférences de consommation, et organise le résultat dans un tableau clair exécutable.

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commentaires (1)

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Soumettre

BenHernández

13 octobre 2026 22:26:34 UTC+02:00

コンビニの購買データ1年間を分析して再購入確率を予測するツール、なかなか実用的だな。休眠顧客に適切なクーポンを送るって発想は良いけど、オフライン店舗のデータ収集が面倒そう。でも、実行可能なテーブルに出力されるなら業務効率化に役立ちそう。試してみよう！

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