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Retail success means data sharing

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Retail success means data sharing

The retail industry is a tough and competitive environment. With every business trying to top one another, it becomes all the more difficult to bring in new customers. The key to retail success in such a cut-throat environment is via your data. The more you know about your customers, the better positioned you'll be to deliver a more personalized shopping experience without blowing out cost-to-serve.

To successfully beat the competition in today’s market, suppliers, wholesalers and retailers must collaborate to optimize every process across the entire supply chain – from the factory floors to the storage warehouses and the distribution networks, then to the retail outlet or website and finally, to the customer.

How can this be achieved?

Data Sharing

Retailers and suppliers should collaborate in sharing and analyzing a common set of data. By measuring and reporting on a common set of data, both parties will be on the same page, analyzing the same data and getting the same results.

There are two key types of data that retailers and suppliers should share:

1. Sell-Thru Data

Sell Thru data is the key information a retailer uses when determining the next order to make from the supplier. Sell-thru data includes:

  • Scanned sales or Register Sales
  • Qty stock on order
  • Qty stock on hand
  • Orders categorised by SKU
  • Orders categorised by store

Giving suppliers access to this information delivers a number of benefits to both the retailer and suppliers. If everyone has a clearer picture of what’s happening in the store or online then the likelihood of running out of stock or over stocking is greatly reduced. Improved accuracy in demand forecasting will allow retailers to better plan their purchasing schedule and allow suppliers to improve manufacturing and distribution processes.

Essentially, both retailers and suppliers can greatly reduce costs and improve efficiency. Ultimately, these efficiencies will translate into cost reductions in the delivery of the final goods to the customer.

2. Product categories

Retailers and suppliers should place a greater focus on managing groups of products instead of individual product ranges. Suppliers and retailers should group similar products based on the way it addresses their consumers’ needs. Then, each category is viewed as its own line of business.

By measuring sales by category and sharing the results, both retailers and suppliers will get an overarching view of the products that aligns with their customers’ needs. Analysis of this data can help identify slow-moving and fast-moving product categories, thereby giving both parties an opportunity to cut their losses by focusing on high-demand categories.

Additionally, suppliers and retailers work together to promote the turnover of the entire category not an individual product. If a supplier wants to introduce a new product it has to be beneficial to the entire category before the retailer places an order for it.

To successfully manage products categorically, retailers and suppliers must have a greater degree of collaboration. Instead of the traditional adversarial relationship, the supplier and retailer must work together to build their businesses as partners.

The Overall Benefit: A Holistic View of the Supply Chain

Improved transparency of key business drivers obtained from sharing data can help establish a single holistic view of the supply chain. The retailer and supplier can respond quicker and more effectively to trends and opportunities in the market. Improved trust results in more effective communication and productive relationships that increase revenue for both the supplier and retailer.

Ultimately, through data sharing, retailers and suppliers have the opportunity to enhance the complete buying and selling process, which will not only bring in tangible benefits to both, but also translate into benefits for the end customer.

Written by Phocas Software
Phocas Software

Empowering businesses with intuitive data analytics, driving informed decisions for growth and profitability. We make people feel good about data.

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