Softura hosted its highly anticipated live webinar, “The New Standard for Logistics Transformation: Build an AI-Ready Stack That Unites ERP to Edge,” on November 13, bringing together logistics, supply chain, and AI leaders to explore how enterprises can modernize their operational ecosystems for the next era of intelligent logistics. The session delivered a deep dive into synchronizing ERP systems with edge technologies, building unified data layers, and activating artificial intelligence across the logistics value chain with measurable, real-world impact.
Opening the webinar, Jeff Bell, Vice President of Business at Softura, challenged a common industry assumption: that downtime is the biggest operational cost. In reality, he said, the silent and often overlooked cost is disconnection—systems not speaking to each other, data not syncing, and frontline workers operating with incomplete information.
Bell described relatable scenarios from the field:
“These aren’t failures of technology,” Bell emphasized. “They’re failures of connected intelligence—moments when your ERP, your data, and your people can’t quite communicate in real time. Modernization bridges that gap from ERP to edge and transforms every action into an intelligent one.”
He went on to describe ERP as the operational brain of the organization, while edge environments—devices, scanners, vehicles, robots—serve as the sensory layer. Modernizing logistics means ensuring these two layers are seamlessly synchronized, enabling real-time decision making across warehouses, fleets, and fulfillment networks.
Bell introduced Softura’s three-layer modernization framework designed to create an AI-ready logistics ecosystem:
Core Layer – ERP Modernization
Most logistics organizations rely on systems such as SAP, Oracle, Dynamics, NetSuite, or homegrown ERPs. But aging architectures and lack of integration limit how far AI can go. Softura modernizes these platforms using:
This layer makes ERP systems flexible, extensible, and ready for real-time data flows.
Data Layer – Unified Visibility Across Operations
AI can only be as strong as the data foundation beneath it. Softura builds governed data lakehouses and data fabrics connecting:
This creates a single source of truth for analytics and automated decision-making.
AI Layer – Predicting Instead of Reacting
Once core and data layers are unified, AI becomes operationally transformative through:
“When these layers come together,” Bell said, “the technology disappears. Intelligence becomes invisible, and better decisions simply happen faster.”
The webinar showcased three enterprises that modernized with Softura, demonstrating how ERP-to-edge intelligence delivers measurable ROI.
A global freight carrier with thousands of vehicles had the right tools—ERP, telematics, maintenance systems—but none of them communicated. Fragmented data led to unplanned downtime, rising operational costs, and unpredictable deliveries.
Softura’s Transformation Included:
Results:
With unified data and predictive intelligence, the carrier increased uptime, cut cost per mile, and improved global visibility without replacing its ERP.
This nationwide 3PL operator invested heavily in warehouse automation—but siloed WMS systems and disconnected IoT devices limited throughput visibility and SLA performance.
Softura Solved This by:
Outcomes:
Softura transformed fragmented automation into coordinated warehouse intelligence—without adding headcount or replacing systems.
A leading e-commerce retailer with 200+ fulfillment centers struggled with reactive forecasting, stock imbalances, and delivery delays due to ERP silos.
Softura Led a Full-Scale Modernization:
Key Impact:
By modernizing the core and eliminating data silos, the retailer unlocked next-level omnichannel efficiency and profitability.
AI Readiness Assessment: A Data-Driven Path to Modernization
The session then welcomed Goran Lucic, Softura’s VP of Business Development and architect of the company’s AI Readiness Assessment. He offered a behind-the-scenes look at how Softura helps enterprises determine their AI maturity and build a sequenced roadmap.
The Assessment Evaluates Multiple Dimensions:
Each dimension contains components with diagnostic questions scored on a 1–5 scale. Combined, they generate a quantified AI readiness score and an AI recommendation matrix.
This Matrix Helps Enterprises:
Softura also showcased its cloud-based assessment platform, which includes:
According to Luchic, “This transforms subjective discussions into objective, data-driven clarity.”
Modernization Without Disruption: From Roadmaps to Execution
Dave Anderson, Chief Revenue Officer at Softura, joined the session to discuss what leaders discover when they see their AI heat map for the first time.
“Most clients expect complexity,” Anderson said. “What surprises them is the clarity. They instantly see where value sits, which initiatives bring ROI fastest, and what must be sequenced to reduce risk.”
He emphasized that:
Anderson added, “We’re not selling AI. We’re helping companies maximize investments they’ve already made and modernize intelligently.”
The session concluded with three foundational principles:
AI outcomes depend on healthy ERP and data foundations. Modernizing those layers is step one.
Businesses don’t need to replace ERP systems. API layers, microservices, and data fabrics enable iterative transformation with minimal disruption.
With 2026 planning underway, leaders need roadmaps grounded in data—not wish lists of AI aspirations. Softura’s assessments convert scattered ideas into executable strategies.
For more information on how Softura is revolutionizing AI-ready logistics transformation from ERP to Edge, connect with our team to explore what’s possible for your organization.
