Traditionally, wholesale selling was a process that took place primarily at trade shows and during in-showroom appointments, with buyers using a mix of learned expertise and intuition to build assortments.
Today, the process has evolved alongside technology to include digital tools that garner valuable data, which brands and retailers alike can use to inform their business decisions.
Data-driven wholesale selling is a strategy used by fashion brands to try to increase revenue. It involves harnessing sales performance metrics, customer demand, and inventory insights to inform buyers on what is in demand and what will perform best in their region.
It's a particularly useful selling strategy in the fashion industry, where trends move quickly, and sales cycles are becoming increasingly shorter. Data-driven selling allows brands and retailers to respond quickly to an ever-changing fashion landscape using hard data rather than a mere hunch.
Today, wholesale fashion sales reps are moving from traditional pitching to a more data-driven approach:

Successful wholesale fashion sales can be achieved by tracking the right data points. These include:
Here are five simple ways brands can use data to move from reactive selling to a proactive, insight-driven approach:
Sales reps should delve into past order data to gain a deep understanding of buyer preferences and use these insights to create personalized product suggestions and relevant styles based on historical performance.
Examining sell-through rates can help sales reps to spot trends and become more accurate with their demand forecasting. They can then use this knowledge to advise buyers on when to reorder to avoid stockouts.
Access to data on bestselling products and best-performing categories allows sales reps to suggest complementary products to buyers, helping to increase the average order value.
Data insights can use inventory data to give bespoke recommendations to buyers on which stock to buy more of and which to avoid. This will help to reduce dead inventory for retailers and improve their turnover.
Sales reps can make more targeted recommendations to buyers after examining regional data. If a rep is trying to start a partnership with a new retailer, they can look at data from other partners in the local area to guide how they approach the new connection.
The right digital tools can help sales reps to improve their productivity and decision-making.
Some of the most popular include:
Without data, sales reps have to rely on assumptions, which can often lead to poor outcomes.
Common mistakes that are made include:
AI-driven insights are helping to accelerate fashion wholesale sales and will spearhead industry growth in the coming years in the following ways:
B2B platforms like JOOR enable data-driven selling by acting as a single source of truth that links all areas of a wholesale business. Brands can log in to a platform and immediately get reporting on real-time inventory visibility, as well as sales performance data, filtered by style, region, or partner. This allows brands to be much more proactive in their sales approach.
Data-driven wholesale selling is a strategy brand sales reps use that involves sharing data insights on how their styles are performing to convince fashion buyers to purchase more product.
Fashion sales reps looking to embrace data-driven selling should track metrics like sell-through rate, product performance, inventory imbalance, seasonal trends, and customer purchase history.
Data improves wholesale sales performance by allowing reps to create more personalized pitches and bespoke recommendations for buyers, predict demand and reorders more accurately, and more easily identify upsell opportunities.
Fashion brand sales reps use several tools to help with data-driven selling, including B2B platforms, CRM systems, virtual showrooms, and analytics dashboards.
Sales reps can increase their wholesale fashion sales by using data to create more bespoke and more accurate selections for buyers.

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