How Target optimized demand planning and retail product allocation across multiple categories with Algo

Target and Algo have expanded their partnership, enhancing collaboration across suppliers and categories — ranging from books and home goods to apparel and footwear.

Target’s supply chain challenges

Retailers face significant challenges in managing varied supply chain models and demand profiles for different product segments, making it difficult for merchandise teams to align planning requirements and meet consumer needs effectively.

  • Varied supply chain models

    Mass merchandise and department store retailers manage products with different supply chain models and demand profiles.

  • Hard goods segments

    Feature thousands of new lines, SKUs, and reactive promotional cycles.

  • Consumer electronics

    Have short life cycles and constrained stock availability.

  • Fashion departments

    Operate on an overseas manufacturing model using ratio packs, requiring months of advance planning and allocation based on predicted store requirements and seasonal markdown cycles.

  • Alignment difficulties

    Merchandise teams struggle to align the different demand planning requirements and consumer needs across these diverse products and timeframes.

Algo’s solution for Target

Algo’s configurable demand planning and allocations platform leverages the MS Azure Intelligent Cloud to execute AI/ML forecasting and create virtual allocations. This advanced technology allows Target to efficiently manage demand planning, forecasting, allocations, and replenishment orders across a wide range of departments, including fashion, toys, home entertainment, books, technology, homewares, and health & beauty.

By using Algo, Target benefits from a unified environment that streamlines the management of various planning cycles and activities, ensuring optimal coordination and efficiency within these diverse departments.

Target’s results

Retailers face significant challenges in managing varied supply chain models and demand profiles for different product segments, making it difficult for merchandise teams to align planning requirements and meet consumer needs effectively.

0%
Increase in shelf availability
0%
Reduction in inventory
0%
Increase in productivity

« En comblant le fossé entre différents départements tels que la planification de la demande, le merchandising, la supply chain et les opérations, des solutions telles qu'Algo garantissent que toutes les décisions sont prises de manière concertée, favorisant ainsi une coordination fluide tout au long de la supply chain. La capacité à collaborer de manière fluide, tout en raccourcissant la distance entre les opportunités et les actions, stimule véritablement l'innovation et crée de nouvelles opportunités dans l'entreprise.

La solution Algo intègre les données, la simulation et l'intelligence humaine pour prédire avec précision la demande des clients, rationaliser les opérations et assurer l'équilibre des stocks. La force d'Algo dans l'analyse des données offre des informations précieuses qui permettent à votre commerce de détail de rester à la pointe d'un marché compétitif. “

Nicole Szujda

Former General Manager of Merchandise, Target

“Target and Algo have expanded on our partnership continuing to build on the strong relationship within the books category. Continuing to leverage the spirit of collaboration across suppliers, Target and Algo, leveraging the Algo system to improve store by product allocations and to partner with Algo to solve business problems and innovation. We are very excited to continue this journey both for locally replenishment and overseas orders as well as expanding across categories from traditional areas like home and toys to apparel, footwear and accessories.”

Nicole Szujda

Former General Manager of Merchandise, Target

Transform planning into a competitive advantage, and make smarter, data-driven decisions that drive retail success.