.svg)
.svg)
Consumer Goods; specialty mattress and bedding manufacturing for the trucking and hospitality industries
.svg)
Mid-range consumer goods manufacturer
.svg)
Mid-market family-owned SMB (nearly 100 years operating from Chicago, IL)
.svg)
ERP tools + manual processes for BOM management, custom order tracking, production scheduling, supplier coordination & sales forecasting (common in specialty made to order manufacturing)
.svg)
Largest manufacturer of semi-truck mattresses and bedding in North America; specializes in made-to-order custom truck cab mattresses (Made to Ride® line: Heavy Hauler, Dreamliner, Long Haul, Rest Stop), premium foams, pocket coils, and protective fabrics; fast nationwide free shipping, Union labor factory production, multi-state distribution to truck fleets, OEM manufacturers, dealers, and Fortune 500 fleets
.svg)
.avif)
.avif)
Estee experienced fragmented systems across material inventory tracking, custom BOM configurations for different truck models, production scheduling, multi-state order fulfillment, supplier lead times, and fleet/dealer visibility, leading to material imbalances, production delays, excess carrying costs on premium foams and fabrics, and missed wholesale opportunities.
In a volatile market with fluctuating material costs, driver retention pressures, and competition from national suppliers, disconnected tools blocked agile response. Estee was risking lost fleet contracts, margin erosion, and scalability beyond current operations.
Production/operations managers, supply chain coordinators, custom order specialists, sales team (fleet relations), finance/procurement leads, and the family ownership team managing national growth in the competitive trucking comfort market.
Material imbalances (e.g., overstock on slow-moving fabrics → waste/write-offs; stockout on high-demand premium foams during peak seasons)
Manual reconciliation across suppliers/fleets delaying custom order processing/forecasting (hours/days/cycle)
Suboptimal resource utilization in made-to-order manufacturing → higher labor/freight/holding costs
Limited real-time visibility into fleet demand trends → reactive rather than predictive production
Reliance on disparate legacy systems + spreadsheets for BOM tracking, material levels, and production logs
Manual supplier coordination and order forecasting → error-prone, time-intensive data reconciliation
.svg)
~14 week rapid rollout, with the unified platform live quickly, and scalable/ buildable onboarding tailored to made-to-order manufacturing workflows.
Predictive demand forecasting and material optimization (trend-aware); real-time inventory visibility and safety-stock tuning (reduce overstock/write-offs on premium components); automated production scheduling and custom BOM configuration; supplier procurement automation and lead-time alerts; cross-functional push insights (e.g., proactive low-stock notifications to sales).
.svg)
Custom agents/workflows (e.g., truck-model-specific configurations, fleet pricing) built fast by your team.
.svg)
Integration pulling from existing ERP, supplier portals, fleet order feeds, and production floor data.
.svg)
Enterprise-grade security, tenant isolation, HITL for sensitive procurement actions.
.svg)
Connect legacy ERP, supplier data, sales logs; clean/validate historical BOM and order data.
.svg)
AI agents enrich material catalogs (e.g., add fleet demand trends, supplier performance), flag inconsistencies in inventory and production status
.svg)
Automate workflows + predictive analytics + alerts drive daily decisions (e.g., material reorder triggers, production prioritization).
.svg)
Operational cost reduction through smarter inventory, optimized production, and reduced waste.
Lower holding costs and improved turnover with AI-driven demand and supply alignment.
Faster production cycles and streamlined workflows across manufacturing and fulfillment.
Rapid payback driven by immediate operational improvements and scalable deployment.
$920K+ in savings driven by measurable gains across inventory optimization (25–45% reduction) and production efficiency improvements (+30–45%).
This positions Estee Bedding for accelerated growth across trucking and hospitality channels, supported by a flexible, AI-native platform that adapts to evolving business needs.
A highly flexible, AI-native BRP platform built for multi-vertical expansion - from custom manufacturing to fleet B2B and hospitality.
With faster onboarding, lower integration costs, and a single unified system, LanternBRP enables scalable growth while capturing high-volume commercial accounts and recurring revenue.
© 2026 Lantern, LLC. All rights reserved.
.svg){kind=small}
