Understand Customer to anticipate their expectations
Detect Fashion trends and & predict demand forecast
Guarantee the availability of products and take into account the specificities of each store
A secure, intelligent, useful Big Data platform designed to address the Retail issues.
Understand Customer to anticipate their expectations
Detect Fashion trends and & predict demand forecast
Guarantee the availability of products and take into account the specificities of each store
A secure, intelligent, useful Big Data platform designed to address the Retail issues.
Understand Customer to anticipate their expectations
Detect Fashion trends and & predict demand forecast
Guarantee the availability of products and take into account the specificities of each store
A secure, intelligent, useful Big Data platform designed to address the Retail issues.
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Have the right KPIs to drive the value of your customer base
Optimize advertising investments by targeting ‘just’
Adapt commercial pressure according to customer profiles
Estimate the potential of each inactive customer
Identify customers who are losing of speed
Optimize advertising investments by targeting ‘just’
Anticipate the success of a product with high potential
Reduce lost sales due to insufficient stock
Plan your deliveries over an entire season
Anticipate and adjust its
stock level
Anticipate the success of a product with high potential
Reduce lost sales due to insufficient stock
Adapt the quantities to be implemented according to the stores
Measure the evolution of KPIs impacted by RFID
Concentrate all the indicators in a single tool
👖 La #mode à l’ère de l’ #IntelligenceArtificielle : du #design à l’ #ExperienceClient !! => #Fashion #FashionTech #ModeDigitale #IA https://t.co/yGuAXs4EHB Read more
🌿 Réglementation, #data et harmonisation : Comment la #mode s’attaque au #greenwashing ?... => by @FashionUnitedFR #Fashion #GreenFashion #ModeDurable #ModeResponsable #RSE https://t.co/ivFuphXyBy Read more
📈 Bilan d'activité fev 2023 vs 2022 pour les #enseignes de #mode françaises, selon l'@IfmParis : + 3,4% de ventes mais -5,9% vs 2019 + 4,5%... Read more
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