Packing dense, brittle material isn’t just about padding—AI is changing how distributors calculate support, load distribution, and time to dispatch
Packing heavy refractory products—especially shaped bricks, precast monoliths, or insulating firebrick (IFB)—has always been more about feel than formula. Loaders choose between foam, wood slats, corner supports, and shrink wrap based on experience, available supplies, and trial-and-error.
But as shipping costs rise and labor thins, distributors are turning to AI to optimize dunnage selection, placement, and packing time—making the process not only faster but also significantly safer.
The Risk Behind Poor Dunnage Practices
Refractory materials are unique: they’re dense and durable under heat, but surprisingly brittle under pressure. A 12-lb high-alumina brick can withstand 3,000°F, but crack under uneven crate pressure or improper strapping.
Without optimized dunnage:
Weight distributes unevenly, stressing edge bricks
Pallets warp, skew, or tilt in transit
Handlers suffer injuries moving unbalanced crates
Damage isn’t visible until the customer unpacks—often at remote sites
The cost isn’t just breakage—it’s repack labor, reshipping costs, lost time in industrial rebuilds, and safety risks.
How AI Dunnage Optimization Works
AI tools analyze historical shipment data, real-time load characteristics, and packaging material inventory to recommend precise packing instructions:
Weight-Based Dunnage Mapping
AI assesses the load’s total weight and dimensions, calculating where dunnage must be applied to maintain crate stability and protect product faces.
Material Selection Recommendations
Based on available dunnage stock (e.g., foam thickness, block supports, plastic corners), AI recommends combinations with the highest protective score for each SKU.
Predictive Movement Simulation
AI models simulate the crate’s behavior under vibration, tilt, and compression—flagging potential weak points before a single strap is tightened.
Packing Time Optimization
By sequencing dunnage placement steps, AI reduces wasted motion and shortens crate assembly time by up to 30%.
Case in Point: Industrial Refractory Distributor in Ohio
After integrating an AI dunnage recommendation tool:
Damage rates in heavy refractory shipments dropped by 48%
Packing time per outbound pallet decreased from 22 minutes to 14
Worker strain complaints declined due to better crate balance
The company used AI insights to standardize packing SOPs across four sites, creating consistency that had been missing for years.
Implementation Tips
Tag high-risk brick types and analyze failure points in returns
Input crate, wrap, and dunnage materials into your AI model
Train packing teams to follow AI’s placement sequences
Integrate with WMS to match dunnage kits to outbound SKUs automatically
Dunnage isn’t just filler—it’s structural insurance. With AI, heavy-duty packing becomes a science of balance, protection, and speed—not a guessing game.
Your refractory bricks can survive extreme heat. Now let’s help them survive the truck.
