# Freight Marketplace ## Autonomous Procurement for shippers **Set your price. Post your load. Let AI do the rest** [Get more details](/content/en/platform/freight-marketplace/shipper/autonomous-procurement#form/index.html) ## Autonomous Procurement isn’t just automated — it’s AI-native. It predicts pricing, personalises offers, reacts to market shifts and learns with every shipment. By combining machine learning, behavioural science and real-time market intelligence, it continuously aligns carrier behaviour with your goals. The result? Faster matches. Smarter pricing. Reliable capacity. ## AI-driven spot buying in action: From planning to execution ### Plan ### Predict ### Engage ### Execute ## Strategic benefits - **0% of volume executed autonomously** - **0 hour average match time**, thanks to real-time AI responsiveness - **0% spot cost savings**, achieved through dynamic AI pricing and behavioural modeling - **0% match success rate**, powered by AI's ability to personalise offers ## Built on an intelligence stack: AI, behavioural science, and data science At the core of Autonomous Procurement is a powerful AI engine that combines behavioural and data science to continuously learn, adapt and optimise offer strategies at scale. **Far beyond basic automation, this is adaptive intelligence, built for dynamic decision-making.** ### Behaviour-informed AI: Learning from human decision patterns The system learns how each carrier responds — when they accept, what price triggers action and why they say no. It uses that insight to tailor offers within each carrier’s unique “acceptance zone,” maximising conversions while keeping rates lean. ### Data-driven AI: continuously refining strategy through volume & variability Autonomous Procurement analyses millions of datapoints across lanes, carriers and market conditions to refine: - Market rate predictions - Lane-specific pricing strategies - Carrier profiles and preferred routes - Load bundling opportunities (e.g., multi-stop or continuous-move shipments) ### Adaptive AI in motion: reacting in real time Autonomous Procurement doesn’t just learn—it adapts. Engagement signals like clicks, delays or rejections trigger real-time adjustments to offer timing, pricing and carrier pools. ## AI-driven spot buying, end to end Transporeon’s Autonomous Procurement applies machine learning and behavioural science to automate spot buying. It predicts the right price for each carrier, personalises offers and adapts in real time to maximise acceptance—cutting delays, reducing costs and improving with every load. ## Primary features - **AI-powered price prediction** Forecasts optimal spot rates based on market data, historical shipments and carrier behaviour—down to the individual carrier level. - **Carrier profiling & personalisation** Learns each carrier’s preferences, timing and price sensitivity to tailor offers that maximise acceptance and minimise delays. - **Smart tendering strategies** Dynamically selects the best approach per load — from using contracted rates to triggering AI-optimised spot offers. - **Load bundling optimisation** Automatically groups compatible shipments (multi-stop, continuous-move) to improve truck utilisation and lower cost-per-load. - **Real-time offer orchestration** Adjusts timing, pricing and carrier targeting based on live engagement data — ensuring fast, efficient capacity matches. - **Advanced analytics & executive KPIs** Access detailed insights into pricing trends, carrier performance and procurement efficiency — built for operations and C-level alike. - **TMS integration & seamless workflow** Easily integrates into your transportation planning system for real-time load publishing, bid feedback and assignment sync. - **Automated “Match Now” execution** Enables instant shipment assignment with one-click carrier acceptance — no negotiation required, no delay introduced. ## CASE STUDY ## Pfeifer Group masters spot with Autonomous Procurement Discover how one of Europe's leading timber producers uses Transporeon Autonomous Procurement to navigate market fluctuations. By automating freight purchasing, the Pfeifer Group achieved an impressive 84% automation rate in spot assignment. This massive reduction in manual effort allows planners to refocus on strategic, day-to-day business. [Explore the case study](/content/en/community/case-studies/pfeifer-group?internal_source=website-module&internal_campaign=case%20study%20pfeifer%20ap%20en&internal_id=cmp-01793-g5g9q/index.html) ## Frequently Asked Questions **What is Autonomous Procurement and how is it different from traditional spot buying?** Autonomous Procurement completely rethinks spot freight buying by combining AI, machine learning, and behavioral science to automate the entire spot procurement process. Instead of collecting carrier bids through manual outreach, it proposes targeted, personalized offers automatically — in real time, 24/7. **What results do shippers typically achieve with Autonomous Procurement?** Shippers achieve measurable improvements across speed, cost, and efficiency: an average match time of just 2 hours, a 90% match success rate, up to 12% spot cost savings, and 80% of volume executed without planner involvement. **How does the AI determine the right offer price for each carrier?** The AI forecasts optimal spot rates based on market data, historical shipments, and carrier behavior — down to the individual carrier level. **What is Match Now and how does it speed up spot execution?** Match Now enables instant shipment assignment with one-click carrier acceptance — no negotiation required, no delay introduced. **How does load bundling work and why does it matter for spot procurement?** Load Bundling Optimisation automatically groups compatible shipments — multi-stop, continuous-move, or geographically proximate loads — to improve truck utilization and lower cost-per-load. **How does Autonomous Procurement integrate with existing TMS and planning systems?** Autonomous Procurement is designed for seamless TMS integration — enabling real-time load publishing, bid feedback, and assignment sync directly within existing transportation planning workflows. **What is Autonomous Quotation and how does it benefit carriers?** Autonomous Quotation (AQ) is the carrier-side counterpart to Autonomous Procurement. **How does Autonomous Procurement solve the scalability problem in spot buying?** In traditional spot procurement, adding freight volume means adding headcount. **How does Autonomous Procurement prevent overpaying on spot freight?** Three mechanisms work together to prevent spot overspend. **What analytics does Autonomous Procurement provide for procurement leaders?** Autonomous Procurement includes advanced analytics and executive KPIs covering pricing trends, carrier performance, and procurement efficiency.