Predictive Procurement in Practice: Arkestro at Manifest

At this year’s Manifest Vegas, Arkestro CTO Ben Leiken joined Katie Date on Fest Live for a conversation about how predictive procurement is changing the way logistics and supply chain teams make commercial decisions.

The discussion focused on a question many procurement and logistics leaders are asking right now: if everyone is talking about AI, what does it really take to apply it inside sourcing and negotiation workflows?

Below, you can watch the full conversation from the Fest Live stage.

Why Procurement Teams are Moving Toward a Predictive Model

Predictive procurement blends AI with behavioral science to fundamentally change how procurement teams approach sourcing.

Most procurement systems today are built around a reactive model. Teams gather bids, analyze the results, and respond to supplier pricing after the fact. That approach worked when supply markets were relatively stable. It becomes far more difficult in an environment shaped by tariff changes and constant market volatility.

Predictive procurement shifts that model. Instead of reacting to supplier quotes, procurement teams begin negotiations with a data-informed view of where pricing should land. By modeling negotiation dynamics before events begin, enterprises can move ahead of market movement rather than responding to it after the fact.

That capability is becoming increasingly important as supply chains experience structural change. Organizations that can anticipate supplier behavior and pricing trends have an advantage in how quickly and effectively they can execute sourcing decisions.

From Passive Analytics to Active Intelligence

Many procurement tools today provide analytics and reporting. They collect historical data and present dashboards that help teams review what has already happened.

Arkestro Intelligence operates differently.

Rather than simply surfacing information, it continuously monitors procurement activity and external market signals. Commodity indices and supplier behavior are analyzed in real time. When meaningful shifts appear, the Arkestro platform generates recommendations that procurement teams can act on immediately.

The key distinction is that those recommendations are operational. Teams can execute the next step directly within the sourcing workflow rather than moving from analysis to a separate execution process.

In supply chains where timing is key, the difference between passive insight and actionable intelligence can determine how quickly a team responds to changing conditions.

Running Nationwide Freight Events at a Different Speed

During the conversation, Leiken shared an example from a large North American roofing manufacturer that used Arkestro to redesign how it manages freight sourcing.

Historically, the company ran nationwide freight events that took between six and nine months to complete. The complexity of coordinating carriers, collecting bids, and evaluating responses limited the number of participants they could reasonably involve.

With the Arkestro platform, the team consolidated their nationwide freight lanes into a single sourcing event. The results were significant:

• The event was completed in under three weeks
• The company engaged 300% more carriers
• They achieved double-digit cost savings across freight lanes
• Nearly 4,000 hours of manual work were eliminated from the process

For logistics organizations operating at national scale, the ability to compress cycle time while expanding supplier participation creates meaningful financial and operational impact.

Responding to Supply Chain Disruption

Another major theme of the discussion was how predictive procurement helps organizations navigate unexpected market disruptions.

Traditional sourcing systems leave teams in a reactive posture. When tariffs change or suppliers face disruptions, procurement teams scramble to evaluate alternatives and launch new sourcing events.

Predictive procurement creates optionality ahead of time.

Because the Arkestro platform continuously monitors supplier activity and market conditions, it can identify viable supplier alternatives before disruption occurs. That allows procurement teams to move quickly when conditions change, already knowing which suppliers or carriers can step in if a primary option becomes constrained or exposed to new tariffs.

In volatile supply environments, having those options available in advance allows companies to respond with far greater speed and confidence.

Driving Adoption Inside Procurement Teams

One of the common questions surrounding AI in procurement is adoption. If teams don’t trust or understand the recommendations being generated, the technology will struggle to deliver value.

Arkestro addresses this challenge by embedding predictive intelligence directly into existing procurement workflows rather than replacing them.

We call the implementation approach “Live in 5,” meaning customers can typically begin running predictive procurement events within about five days. That speed allows teams to see results quickly and build confidence in how the system supports their decision-making.

It also reflects a broader point raised during the conversation: many AI tools today focus on general-purpose capabilities such as chat interfaces or standalone analysis. While useful in some contexts, those tools often lack the deep operational context required to drive procurement outcomes.

Predictive procurement works because it is embedded directly into the sourcing process itself.

The Future of Procurement in Logistics

As supply chains continue to experience volatility, procurement organizations are under growing pressure to move faster while maintaining control over cost and supplier relationships.

Predictive procurement represents a shift in how those decisions are made.

Instead of waiting for supplier bids and reacting to market changes, organizations can model negotiation dynamics in advance, identify viable supplier options, and execute sourcing events with far greater speed and structure.

For logistics and transportation networks operating under constant market pressure, that shift is quickly moving from innovation to expectation.