AI-Powered Pricing: Helping Distributors Make Smarter, Faster Decisions



Pricing has always been one of the most important levers distributors have to protect margins and remain competitive. But as market conditions become more complex, the traditional approaches many distributors have relied on for years may no longer provide the visibility or agility needed to make the best pricing decisions.

Cost-plus pricing, static price matrices and manual decision-making remain common throughout the distribution industry. These methods are familiar and have historically served distributors well. Today, however, fluctuating costs, changing customer expectations, competitive pressures and increasingly complex product portfolios are making pricing decisions more difficult.

The opportunity is not simply to replace those processes. It is to give the people making pricing decisions better information.

Moving Beyond Traditional Pricing Models

Many distributors are still operating at what Infor identifies as Level 1 or Level 2 pricing maturity, where pricing decisions rely heavily on cost-plus models, static matrices and manual processes.

The challenge is that these approaches can make it difficult to respond quickly when conditions change.

Every transaction generates valuable information about customers, products, demand, inventory and purchasing behavior. When that information is spread across systems or requires significant manual analysis, pricing teams may not be able to use it effectively when decisions need to be made.

AI and advanced analytics can help change that by analyzing significantly more information and identifying patterns that would be difficult to uncover manually.

Bringing AI Into the Distributor’s Existing Workflow

For distributors using Infor CloudSuite Distribution and Infor Velocity Suite, AI-powered pricing capabilities can bring those insights directly into the systems and workflows teams already use.

Rather than requiring users to move between disconnected tools or manually analyze large amounts of data, embedded AI can provide real-time insights into areas including pricing, inventory and demand.


Read More : Types Of Enterprise Resource Planning

Visit Website : https://nsacom.com/

Contact Us : Types Of ERP Systems

Comments