{"id":9255,"date":"2022-11-10T03:42:43","date_gmt":"2022-11-10T03:42:43","guid":{"rendered":"https:\/\/ivymobility.com\/?post_type=blog&p=9255"},"modified":"2024-09-13T04:59:57","modified_gmt":"2024-09-13T04:59:57","slug":"optimize-shelf-assortment-with-computer-vision-in-retail-execution","status":"publish","type":"blog","link":"https:\/\/ivymobility.com\/pt\/blog\/optimize-shelf-assortment-with-computer-vision-in-retail-execution\/","title":{"rendered":"Otimize o sortimento de prateleiras com vis\u00e3o computacional na execu\u00e7\u00e3o de varejo\u00a0"},"content":{"rendered":"

Os estudos do BCG mostram que a ind\u00fastria retalhista atingir\u00e1 $1,3 trilh\u00e3o<\/b><\/a> at\u00e9 2025, apontando para o aumento da procura por espa\u00e7os comerciais. Os espa\u00e7os de varejo s\u00e3o caros, e empilhar pilhas de SKUs que vendem rapidamente eventualmente significa oportunidades perdidas para lojas de varejo, desperd\u00edcio de espa\u00e7o de estoque para distribuidores e produtos vencidos para fabricantes.<\/p>\n\n\n\n

As principais lojas de varejo planejam prateleiras com base em dados de vendas, como volume unit\u00e1rio, para analisar a movimenta\u00e7\u00e3o de SKUs nas lojas de varejo. Para entender esses aspectos com foco, as empresas exigem intelig\u00eancia de prateleira capturada por meio de software de reconhecimento de imagem de prateleira para acessar dados granulares.<\/p>\n\n\n\n

\n
\n

Precisamos considerar dois par\u00e2metros ao considerar produtos empilhados nas prateleiras: largura e profundidade. Amplitude do produto<\/b> refere-se \u00e0s diferentes linhas de SKUs expostas nas prateleiras, e Profundidade<\/b> refere-se ao n\u00famero de unidades de cada produto nas prateleiras. Por exemplo, um ponto de venda popular estoca os produtos mais comuns em diferentes marcas e tamanhos de embalagens. Eles nunca t\u00eam certeza do que estocar; portanto, eles t\u00eam uma ampla amplitude. Enquanto isso, outra loja de tamanho semelhante opta por estocar mais quantidades de uma marca\/produto porque os consumidores da regi\u00e3o v\u00eam solicit\u00e1-los, o que lhes confere uma enorme profundidade de produto.<\/p>\n<\/div>\n

\"Realidade<\/figure>
<\/div>\n<\/div>\n\n\n\n

As c\u00e2meras dos smartphones ajudam a capturar imagens, e os algoritmos de IA convertem imagens em dados para fabricantes que precisam de aten\u00e7\u00e3o nas lojas. Esses dados e outros par\u00e2metros ajudam as partes interessadas a fazer escolhas informadas sobre os produtos, listagens e quantidade de pedido recomendada a ser exibida. As recomenda\u00e7\u00f5es derivadas desses dados s\u00e3o cruciais para que os vendedores garantam que vendem os SKUs corretos. Dados de vendas consolidados garantir\u00e3o distribuidores<\/a><\/strong> est\u00e3o cientes das oportunidades de vendas e receitas em todas as lojas de varejo.<\/p>\n\n\n\n

Listados abaixo est\u00e3o os insights capturados por meio de tecnologia de reconhecimento de imagem<\/a><\/strong> em tempo real nas lojas. Isso pode ajudar grandes empresas e ag\u00eancias de merchandising a aumentar suas vendas e produtividade.<\/p>\n\n\n\n

Disponibilidade de estoque<\/b><\/h4>\n\n\n\n

Os representantes de vendas n\u00e3o precisam mais contar SKUs<\/a><\/strong> nas prateleiras manualmente. Uma \u00fanica imagem capturada pelo vendedor pode verificar a disponibilidade de estoque nos corredores. Desde os revestimentos at\u00e9 a largura do material, o algoritmo captura automaticamente todos os detalhes, aumentando assim a efici\u00eancia e reduzindo o escopo de erros.<\/p>\n\n\n\n

Conformidade com Planograma<\/b><\/h4>\n\n\n\n

Muitas empresas criaram uma loja perfeita para seus produtos atrav\u00e9s de anos de pesquisa e an\u00e1lise de dados de consumidores. Esses planogramas s\u00e3o replicados em diferentes lojas de varejo em diferentes regi\u00f5es geogr\u00e1ficas, ajudando os clientes a manterem a familiaridade e a facilidade de localizar produtos nos corredores, melhorando a visibilidade geral. execu\u00e7\u00e3o de varejo na loja<\/a><\/strong> experi\u00eancia.<\/p>\n\n\n\n

\n
\"Sistema<\/figure>
<\/div>\n
\n

Qualidade do espa\u00e7o de prateleira<\/b><\/h4>\n

Lojas de varejo<\/a><\/strong> cobram pre\u00e7os altos por prateleiras ao n\u00edvel dos olhos. A subutiliza\u00e7\u00e3o dessas imagens de prateleira significa uma perda para as marcas, e o rastreamento manual da qualidade das prateleiras \u00e9 complicado. Em vez disso, as marcas podem calcular automaticamente as faces dos produtos e comprovar a parcela de qualidade das prateleiras usando sistemas de reconhecimento de imagem das prateleiras. Comparar a participa\u00e7\u00e3o na prateleira com os SKUs e sua contribui\u00e7\u00e3o nas vendas ajuda as empresas a entender melhor o ROI.<\/p>\n<\/div>\n<\/div>\n\n\n\n

Otimiza\u00e7\u00e3o de categoria<\/b><\/h4>\n\n\n\n

Reorganizar os produtos nas lojas \u00e0s vezes ajuda a ajustar as vendas. Conversas regulares com seus principais clientes ajudar\u00e3o a identificar lacunas e incluir\u00e3o sugest\u00f5es que ajudar\u00e3o no remapeamento de categorias e na reorganiza\u00e7\u00e3o de prateleiras, ao mesmo tempo que impulsionam as vendas em uma dire\u00e7\u00e3o positiva.<\/p>\n\n\n\n

Analise competitiva<\/b><\/h4>\n\n\n\n

Ao capturar uma imagem de prateleira, as imagens capturam SKUs espec\u00edficos da marca e detalhes como SKUs do concorrente, pre\u00e7os e promo\u00e7\u00f5es. As empresas usam essas informa\u00e7\u00f5es para se informarem escolhas para aumentar as vendas<\/a><\/strong> replicando pre\u00e7os ou ofertas semelhantes para ajudar as marcas a competir com o m\u00ednimo de esfor\u00e7o.<\/p>\n\n\n\n

Conformidade de pre\u00e7os<\/b><\/h4>\n\n\n\n

Certos pa\u00edses v\u00eam com limites de pre\u00e7os definidos para cada produto. Lojas de varejo<\/a><\/strong> n\u00e3o pode vender a custos superiores aos valores estabelecidos. O software de reconhecimento de imagem ser\u00e1 \u00fatil para garantir a conformidade com pre\u00e7os regulares ou pre\u00e7os promocionais.<\/p>\n\n\n\n

-<\/p>\n\n\n\n

Olho de hera<\/a><\/strong> faz parte da plataforma comercial unificada da Ivy que ajuda fabricantes e distribuidores a usar as vendas secund\u00e1rias de maneira eficaz e eficiente. Com o software de reconhecimento de imagem, as empresas podem alcan\u00e7ar maior produtividade e economizar tempo com algoritmos prontos para o futuro. Esses algoritmos de pr\u00f3xima gera\u00e7\u00e3o com tecnologia avan\u00e7ada ajudam as empresas de bens de consumo a obter maior produtividade e vendas aprimoradas. Agende uma demonstra\u00e7\u00e3o conosco<\/a><\/strong> para ajudar sua empresa a incorporar o reconhecimento de imagem em lojas de varejo para aumentar as vendas.<\/p>","protected":false},"featured_media":9258,"template":"","meta":{"_acf_changed":true,"inline_featured_image":false,"_kad_blocks_custom_css":"","_kad_blocks_head_custom_js":"","_kad_blocks_body_custom_js":"","_kad_blocks_footer_custom_js":"","_kadence_starter_templates_imported_post":false,"_kad_post_transparent":"","_kad_post_title":"","_kad_post_layout":"","_kad_post_sidebar_id":"","_kad_post_content_style":"","_kad_post_vertical_padding":"","_kad_post_feature":"","_kad_post_feature_position":"","_kad_post_header":false,"_kad_post_footer":false},"categories":[14],"class_list":["post-9255","blog","type-blog","status-publish","has-post-thumbnail","hentry","categories-blog"],"acf":[],"yoast_head":"\nOptimize Shelf Assortment with Computer Vision in Retail Execution\u00a0<\/title>\n<meta name=\"description\" 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