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Retail

When a retailer’s greatest asset is getting new ideas to consumers quickly, companies can’t afford to let technology slow them down. Instead, it must help address key industry issues. Here are some key challenges and goals that Infor helps its customers address every day.

Need for speed from concept to consumer

Full price selling periods are shrinking; product development and assortment creation must be faster.

Sourcing diversification

Risk diversification and shifting tariff policies require flexible approaches to sourcing products.

Fulfilment complexity

Next-day delivery and curbside pick-up require specialised types of labour and positioning inventory closer to the customer.

Margin compression

Design assortments and collections must maintain lifecycle margin despite price/promotion pressure and increasing costs to serve.

Talent resiliency

Constantly changing market conditions require an adaptable, always learning workforce.
Our lifeblood is the front line of the retail store. By providing our front-line workers with reporting at their fingertips, sales and customer service have improved. All our employees, including executives, look at the same numbers and make better decisions as a result. All of this value has definitely contributed to a positive ROI.”
 

DAVID CLOTHIER

VICE PRESIDENT OF FINANCE, TREASURER & CONTROLLER, PILOT FLYING J

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Delivering value for customers across industries

Retail solutions for your most critical challenges

CloudSuite Retail is the leading suite of machine learning and scalable cloud-powered technologies to optimise a retailer’s inventory, labour, assortments, data, planning, and supply chain management.

Image showcasing a PLM dashboard that can be integrated with Retail Solutions for comprehensive management and optimisation

Reducing time from concept to customer

Cut weeks out of the product design and assortment building process

  • Collaborative product design
  • Curate collections guided by margin targets
  • Go to market shopping lists
  • Hyper localisation of the assortment
  • Attribute level demand prediction

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