An industrial goods distributor was managing more than 50,000 SKUs. Their online inventory held a vast array of products and was difficult to navigate. Customers spanned a variety of unrelated industries, some of them serving niche markets. As a result, when inside sales reps took orders they often missed opportunities to cross-sell related items.
Analytix Studio consultants recognized the problem and developed a recommendation engine that relies on machine learning to match customers' purchasing history with the products that best fit their needs.
Inside sales reps are able to bring forward product recommendations that are custom-tailored to the specific needs of each customer. Revenue gains have been realized as opportunities for up-selling and cross-selling are now recognized automatically.
Creating value from data. Copyright: Analytix Studio 2022