Supply Chain Logistics Optimization
We help organizations with customized solutions that solve problems off-the-shelf tools cannot address, providing insight, visibility, and optimization that delivers exceptional business results
We help customers overcome the startling supply chain issues prevalent today and prepare for many elements of the APQC list of massive changes coming by 2023, including robotic process automation, blockchain, continuing digitalization of the supply chain, global tariff uncertainties, and the leverage of artificial intelligence and machine learning.
Our supply chain modeling, complex analysis, and optimization deliver custom solutions that solve problems that off-the-shelf packages cannot solve. We handle challenges ranging from minimizing transshipment and inventory cost to selecting optimal replacement products.
How We Help Clients
We help organizations recognize the real problems that are impacting their supply chains. First, we drill down to root causes and identify current and future gaps in the organization’s technical stack, processes, and management tools. Then, from a new understanding of the problem, we build a prioritized portfolio of supply chain issues that offer the best opportunity for resolution and results.
Our Glimpse® tools and connectors enable us to join real-time data feeds from disparate ERP, CRM, and WMS tools and clean and transform the data. We present clever and insightful displays not ordinarily available. What-If controls enable quick sensitivity analysis and enable disruption recovery planning, transshipment cost minimization, and inventory cost reduction.
Lead Custom Solution Implementation
We lead solution implementation projects that deliver unique and remarkable solutions for our customers. Solution elements vary with the nature of the project, but we pursue exceptional results with the best technology available. We combine on-site engagement with remote support to work with customer staff and executive sponsors.
What We Do
Transshipment Cost Minimization
Modeling inbound vendor deliveries through networked DCs, studying local demand, and adding in lot size, truck size, and dock restrictions to create a tunable model to slash costs by choice of optimal transshipment routing.
Stocking and Order Cost Minimization
Choosing a modified EOQ model that cuts stocking and ordering cost by incorporating machine learning-based forecasts and applying proven cost minimization techniques to select order quantity for any of hundreds of thousands of inventoried SKUs.
Fulfillment Performance Tuning
Examining the organization and function of fulfillment operations to create a performance model to tune.
Optimal Warehouse Location
Calculating optimal locations for new DCs, or for replacing some or all existing DCs.
Implementing automated data collection and visualizations that span multiple systems to reveal vendor performance measures and to show current stocking levels and inbound stock for each supplier, supporting order actions.
Delivery Route Optimization
Creating optimal plans for outbound delivery from an existing DC to reduce costs while maintaining customer satisfaction and enforcing realistic restrictions on truck capacity, route length, and dock limitations, among others.
Loading Dock Labor Forecasting
Applying machine learning forecasting techniques and data ingestion from production systems and including restrictions on truck and dock types to build and update least-cost dock staffing plans.
Supply Chain Assessment
Creating sophisticated models of existing supply chain logistics, in whole or in part, to identify vulnerabilities and redundancies and to power interactive What-If sensitivity analysis, even in real-time within a team meeting.
Solutions For All Aspects of Your Business
We help customers tune existing supply chain logistics and design the optimal supply chain logistics they need for the future
We deliver information visualizations that make supply chain statistics actionable. We use modeling, analysis, simulation, and optimization tools to provide the best results today and the best possible designs for the future.
Study and Discovery
We invest the effort needed to build an in-depth understanding of our customer’s logistics network. This effort includes the identification of restrictions of all types and consideration of upcoming impacts such as planned mergers and acquisitions.
Analysis and Modeling
Securing access to clean, accurate, and timely data is a primary concern of modeling and analysis problems. When the data is secured, EDA (exploratory data analysis) reveals the quality of the solution that can be achieved and the types of methods that will offer the best analysis and optimization.
Modeling and Analysis
We build high-fidelity models that accurately reflect the production reality. With these models, we can apply classical simulation and optimization techniques to yield excellent and sometimes surprising results or provide valuable insights.
Our data team makes a concerted effort to identify the true source of data for each element needed for analysis and works with the organization’s staff to secure access to the data. In addition, the team sets up connectors that provide sophisticated data transformation and cleaning.
Sectors We Serve
Quality Focused, Result Driven
What-If Analysis for Call Centers
Customer Profitability Model
Global Business Capability Model
Delivering the Enterprise What-If Capability
Ten Tips for Minimizing Shipping and Inventory Costs in Turbulent Times
What is data analytics and how does it help improve my supply chain?
Disruption Recovery Planning for Supply Chain using Data Analytics
Reducing Inventory Costs in a Multi-Echelon Logistics Network
Supply Chain Performance Analytics for Inventory, Supplier, and Fulfillment Management
Sustained, Unfair Competitive Advantage
Understand how our team can help your organization with Supply Chain Logistics Optimization.