Leading North American Shipping and Packaging Supplies Distributor Saved 720+ Hours with AI
Major shipping and packaging supplies distributor replaces manual freight bidding processes with Pi, Pando's AI agent, cutting carrier analysis time and accelerating contract cycles.

+720 Hours
of annual productivity improvement
3 Weeks
reduction in procurement cycle time
+20 %
improvement in performance score
Augmenting human efforts in freight procurement!
When you're managing $50 million in ocean freight alone and your team is burning 14 hours analyzing each domestic carrier, you realize the math just doesn't work. We needed those hours back for actual negotiations, and Pi helped us get back more than time.
Director
Global Logistics
Challenge vs Outcome
Pre-Pando challenges
- Lean team struggling with $50M+ freight procurement across modes
- Domestic LTL carrier analysis consuming 14 hours per evaluation
- Import freight bidding trapped in Excel with 11.5-hour rounds
- Zero visibility into carrier on-time performance for lane decisions
- Three-week freight contract cycles missing market rate windows
Post-Pando Benefits
- Managing $50 Mn procurement along with 3X carrier engagement
- LTL carrier analysis streamlined to 5-hour turnaround time
- Import bid evaluation automated from spreadsheets to AI
- Carrier performance data driving freight lane allocation choices
- Freight contracts executed in days instead of weeks
A leading North American distributor of shipping and packaging products with $11 billion in annual revenue. They operate an extensive network of 20+ facilities and distribution centers spread across the US. With an array of over 42,000 products, they serve more than one million customers by collaborating with 2,000+ suppliers and leveraging a fleet of 1,000+ trucks.
Industry
Packaging
Region
North America
Solutions used:
- AI freight procurement analyst
Generic procurement tools. Freight bottlenecks. Spreadsheet chaos.
The company's freight procurement operation was suffocating under manual processes that a generic procurement tool simply couldn't handle. Despite being responsible for millions in freight spend across ocean, LTL, FTL, and intermodal modes, their procurement was essentially run by a small team armed with spreadsheets and email chains. This created an impossible bottleneck that limited their ability to engage competitive carrier pools.
Domestic freight procurement was particularly painful. Each carrier analysis required 14 hours of manual work - exporting data from the tool, building comparison models in Excel, and manually calculating scenarios. With 45 carrier analyses needed annually, plus 39 ad hoc reviews for things like new branch analyses and territory reviews, the team was drowning in spreadsheet work instead of focusing on strategic negotiations.
Import freight operations were even worse. The procurement tool forced 90% of their import bid analysis into disconnected Excel workflows. Each annual bid involved three rounds of analysis, with each round consuming 11.5 hours of manual spreadsheet manipulation. The system couldn't handle complex rate structures, accessorials, or the multi-variable analysis needed for ocean freight decision-making.
The lack of integrated performance data meant every carrier decision was essentially a guess. Without historical on-time delivery rates, service quality metrics, or cost compliance tracking built into their evaluation process, they were making million-dollar freight commitments based on incomplete information.
Every import bid meant three rounds of analysis, more than 10 hours each round, all happening in spreadsheets because generic procurement tools couldn't handle our rate structures. We were running a $50 million pan US logistics like a mom-and-pop store.
- Director of Transportation
How the AI freight procurement analyst Pi delivered 720+ hours savings
Intelligent freight rate analysis eliminates spreadsheets
Pi, Pando's AI agent for freight operations, transformed how the team handles carrier rate analysis and augmented their productivity. Instead of exporting data to Excel and building manual comparison models, Pi automatically processes rate submissions across all freight modes - ocean, LTL, FTL, and intermodal. The AI agent identifies cost anomalies, flags incomplete bids, and ranks carriers based on both price and service capabilities without human intervention.
The impact on domestic freight procurement was immediate. What previously required 14 hours of manual analysis per carrier now takes 5 hours, with Pi handling the computational heavy lifting. The AI agent processes accessorial charges, evaluates service commitments, and provides ranked recommendations that procurement managers can review and approve.
Now my team can run a domestic rate analysis in 5 hours instead of 14. That's almost 700 man-hours per year back in our calendar just from one change alone - time we spend negotiating better deals.
- Senior Director, Freight Procurement
Contextual freight scenario modeling replaces manual calculations
Pi's scenario planning capabilities eliminated the need for custom Excel models when evaluating different freight allocation strategies. The AI agent can instantly model various lane and carrier combinations across their multi-modal network, showing cost and service impacts of different procurement decisions. This gives the team confidence to explore options they never had time to analyze manually.
For complex decisions like whether to bundle lanes for better LTL rates or split them for service optimization, Pi runs multiple scenarios simultaneously. The AI agent factors in carrier capacity constraints, service requirements, and historical performance data to recommend optimal freight procurement strategies.
Integrated carrier performance tracking drives freight decisions
Rather than making carrier selections based on relationships and limited data, the team now has comprehensive performance visibility built into their decision process. Pi tracks carrier performance across all critical metrics - on-time delivery rates, damage claims, service failures, and cost compliance - for every lane and transportation mode.
This performance data flows directly into bid evaluations, so procurement decisions balance cost savings with service reliability. The AI agent weights carrier bids based on both price competitiveness and proven performance, helping avoid the hidden costs of poor service.
Centralized freight contract management streamlines operations
Pi created a single repository for all freight contracts and rates across their complex multi-modal operation. Instead of searching through multiple systems to find LTL tariffs, ocean freight rates, or intermodal pricing, everything is accessible in one platform. The AI agent handles complex rate calculations, accessorial charges, and contract compliance monitoring automatically.
Contract modifications that used to require days of manual work now flow through automated workflows. When carriers propose rate changes or service adjustments, Pi evaluates the impact across affected lanes and provides recommendations within hours instead of weeks.
Expanded carrier engagement without administrative burden
The team can now evaluate significantly more carriers for each freight lane without increasing administrative workload. Pi manages the entire RFQ process - from initial carrier outreach through bid collection, analysis, and selection recommendations. This expanded carrier participation delivers more competitive rates and better service options across their freight network.
The AI agent handles routine carrier communications, tracks bid responses, and follows up on missing information automatically. This frees the procurement team to focus on strategic carrier relationship management and contract negotiations rather than administrative tasks.
We went from 50 mini-bids and 2 large bids all handled through email chains to having everything flow through one system. Our carrier relationships are stronger because we're not constantly asking them to resend rate sheets.
- Transportation Operations Manager
Accelerated freight contract implementation captures market opportunities
New freight contracts and rate adjustments that previously took three weeks to implement now go live within days. Pi streamlines the approval workflow, automatically updates rate tables, and ensures system integration once contracts are executed. This speed allows the company to capitalize on favorable market conditions and competitive carrier pricing when opportunities arise.
The AI agent also monitors contract performance and alerts the team when rates deviate from agreed terms or when carrier performance falls below contracted service levels. This proactive monitoring prevents cost overruns and service failures before they impact operations.
Replacing the generic procurement tool's limited capabilities with Pi fundamentally changed how these industrial packaging supplies distributor approaches freight procurement. The 720+ hours of annual time savings, 3-week reduction in contract cycles, and 20% improvement in carrier performance evaluation represent a shift from reactive, spreadsheet-driven procurement to strategic, data-informed freight management.
The procurement team now evaluates three times more carriers, makes decisions based on comprehensive performance data, and focuses their expertise on negotiations rather than data manipulation. Most importantly, they have the analytical capabilities and market visibility needed to optimize their complex multi-modal freight network while supporting the company's growth objectives across North America.