The Challenge of Data Complexity in Retail Sourcing
Retail sourcing involves more than just finding the lowest-priced supplier. Sourcing managers must consider a variety of factors that influence product quality, lead time, delivery reliability, and more. Data complexity comes into play when these factors are constantly shifting due to global market dynamics.
A sourcing manager might need to adjust purchasing decisions on the fly based on sudden increases in demand, price volatility, or an emerging regional issue that disrupts supply chains (e.g. last year’s catastrophic Baltimore Bridge collapse). Analyzing such high volumes of data fast enough to keep up with market changes is not just cumbersome, it is simply not possible. More than that, it opens the door to human error, significantly longer cycle times, and lost savings.
Harnessing the Power of Data to Simplify Retail Sourcing Decisions
To truly make the best sourcing decisions fast enough and consistently, retail leaders need to embrace technology that can help them analyze and manage large volumes of data in real-time. One example of such technology is advanced Sourcing Optimization, which is designed to make this process more efficient and scalable.
According to Gartner, Sourcing Optimization ‘supports decision making for large, complex spend categories. These solutions use complex algorithms and data analytics to analyze thousands of data points and optimize sourcing decisions’.
Here's how it addresses the complexities retailers face:
Supplier Performance and Flexibility
With Sourcing Optimization, retail sourcing teams can evaluate supplier bids and performance across various metrics—such as delivery reliability, cost efficiency, and quality. Tools like Keelvar Sourcing Optimizer provide flexibility by enabling suppliers to submit more creative and varied bids, revealing hidden opportunities that might not have been captured in traditional methods like spreadsheets. This helps retailers make more strategic decisions and unlock savings.
Sustainability and Trade-offs
As consumer interest in sustainability grows, sourcing teams need tools that allow them to factor environmental and ethical considerations into their decisions. Sourcing Optimization platforms enable retailers to conduct trade-off analyses that balance cost, service, and sustainability. For example, teams can compare suppliers based on their carbon emissions, helping drive more eco-friendly and socially responsible sourcing decisions whilst still meeting organizational savings targets These award scenarios are often too complex to evaluate in spreadsheets or take too long to calculate so are ignored.
Real-Time Adjustments for Dynamic Environments
Retail sourcing is often impacted by market volatility and supply chain disruptions. With advanced Sourcing Optimization technology, teams can run complex scenario evaluations that provide real-time insights and allow them to make lightning-fast decisions to keep up with their dynamic environments. Businesses can respond quickly to unexpected changes, ensuring a more resilient and responsive supply chain.
Looking ahead
As the retail sector faces increasing complexities, embracing data-driven strategies is no longer optional – it’s essential for maintaining a competitive edge. Retailers who lean into this complexity, using data beyond price to guide their sourcing decisions, will be able to make more informed, agile, and profitable choices that drive long-term success.
Click here to request a demo and follow in the footsteps of Keelvar's retail customers like adidas, Tesco, and CVS.