Cloud Revolution in Delivery Management

At Sci-Log, we’ve seen the good, the bad, and the ugly of last century’s routing, distribution network design and transportation planning software. Based on those first-hand experiences, our team developed a modern, state-of-the-art SaaS platform that delivers business consistency and control, and has ignited a revolution in delivery management.

As the only true cloud routing and scheduling solution, we leverage a parallel computing architecture, automated workflow orchestration, an enterprise design, contemporary user interface, advanced optimization algorithms, and integration-friendly web services components as the foundation of the Sci-Log system. We proudly supply:

  • Optimized and operationally functional routes that require minimal user intervention.
  • The only route optimization software that integrates delivery strategy and distribution network design, automated what-if simulations, and route planning operations.
  • Unmatched cloud computing horsepower that significantly compresses timeframes for daily route planning and what-if analysis.
  • The industry’s most enterprise-savvy solution that provides centralized visibility and control across all regions and distribution centers, for a variety of users including customer support, finance and sales.

But don’t take our word for it, check out the customers who have already joined the revolution.

Moving to the cloud with Sci-Log means continuous improvement via automatic, painless updates, so your team always has the latest software and most recent maps — avoiding IT headaches and costly maintenance fees. And, our supply chain experts provide even more expertise to extend your distribution team.

Check out our SaaS solutions designed to support a wide variety of needs across a multitude of industries:

Dynamic Routing and Scheduling

Sci-Log helps significantly reduce transportation costs by dynamically adjusting or “flexing” routes each day. Given a set of customers and associated order quantities, the Sci-Log solution automatically finds the lowest cost plan while respecting all business rules and constraints. The Sci-Log solution optimizes a variety of multi-stop route applications, including delivery routes, pickup routes, and mixed pickup and delivery routes. These applications are characterized by truck routes that visit multiple stops and by variability in customers and customer order quantities.

Fixed Route Design and Tuning

The Sci-Log solution designs the optimal set of fixed routes – then, just as importantly, we keep tuning the fixed routes as customers are won or lost or other changes occur. The Sci-Log solution can also be used in a hybrid fashion combining the operational consistency of fixed routes with the cost reductions of dynamic routes. Here, certain aspects of routes are “locked” for consistency (such as key customers to certain drivers, or certain route sequences), but other rules and decisions are left open for more flexible route optimization. Fixed route design is characterized by truck routes that visit multiple stops, and customer order patterns or service patterns are relatively constant, or high route consistency is required even in the face of order variability. Thus the same fixed routes can be run each day or period.

Territory Planning and Logistics Network Optimization

For supply chains with significant multi-stop delivery routes, traditional supply chain design and territory planning tools and models often produce highly inaccurate results. Traditional supply chain network tools do not directly model multi-stop routes and schedules (including stop sequences, time windows, driver workloads, truck types, etc.), and instead roll up shipments to point-to-point “flows” of quantities. In contrast, the Sci-Log solution automatically evaluates the precise impact, costs, miles volumes, and driver headcount of different supply chain configurations and strategies on multi-stop routes. The centralized design and use of parallel computing within the Sci-Log solution also make it easy to analyze and optimize a multi-stop distribution system across an entire enterprise, allowing enormous national supply chains to be modeled and efficiently analyzed. Sci-Log produces rapid automated results even on models with thousands of trucks and hundreds of facilities or more.

Sci-Log can also be used to optimize hub-and-spoke network configurations which contain fundamental differences compared to traditional logistics network systems. Optimized hub-and-spoke networks generally feature highly asymmetric or skewed territories to prevent delivery trucks from “doubling-back” too much towards distribution centers or parent spokes.

Routing Strategies and What-if Simulations

Firms with truck fleets face ongoing higher-level routing questions and decisions, such as the impact of new business on existing routes, how to tradeoff customer service windows with transportation cost, the impact of driver overtime policies, etc. Traditional routing systems do not provide much help with these analyses, as each scenario must be interactively analyzed and solved, a tedious and time-consuming process. The Sci-Log solution automatically generates high quality route plans, making routing strategy analyses practical and fast. The Sci-Log solution also maintains a centralized data warehouse of historical orders and routes across multiple facilities or distribution centers, so histories can be automatically “played back” to evaluate the impact of different business rules or costs.

Shipment Consolidation and Mode/Carrier Optimization

Companies without their own private or dedicated fleet must rely on various transportation firms and shipping modes (such as LTL carriers, truckload carriers, and small package carriers) to move their shipments. For these companies, consolidating LTL shipments into multi-stop truck routes offers a key savings opportunity. Shipment consolidation by itself is complex, but even more complicated given different carriers usually have different fees depending on shipping lanes, numbers of stops made and fuel surcharges. The Sci-Log solution captures these saving by automatically optimizing shipment consolidation and shipping mode, as well as determining the lowest cost carrier for a multi-stop route.

Full Truckload Continuous Move

These applications are characterized by full truckload legs that can be “strung together” to form attractive tours that minimize empty miles. Firms with private fleets can significantly reduce empty miles; firms shipping via truckload carriers can receive discounts by offering attractive tour combinations to carriers. The Sci-Log solution is designed to reduce transportation cost by optimizing continuous moves.

Increasingly, customers are demanding same day service for last mile distribution of goods where deliveries are made often within a few hours of order placement. Same day last mile delivery applications include all of the complexities of traditional dynamic routing but add significant additional complexities. These include order booking while trucks are in the field, multiple pickup origins for order fulfillment, pickup timing restrictions as orders are picked and packed from fulfillment centers, and service commitments guaranteeing delivery within a certain time or time slot from order placement. Traditional routing systems were not designed for these types of applications and business rules. This forces same day delivery organizations to perform ongoing manual transportation planning throughout the day. In contrast, the computational advantages of Sci-Log’s cloud-based solution allow the system to automatically consider all of the business rules, decision options, and costs relevant in complex same day delivery applications.
Many service technician planning applications involve technicians who start and finish their routes from their homes each day. Further, every day the optimal territory of each technician may vary, given the particular service orders for the day. Sci-Log is the only system that is able to simultaneously optimize the service territories each day and the associated routes and schedules.
The Sci-Log cloud platform includes a set of building blocks for modeling supply chain locations, shipping lanes, shipments, transportation assets, territories, and many other supply chain characteristics.   Thus Sci-Log can quickly assemble a new optimization solution for custom or unique applications, leveraging the parallel computing architecture, automated workflow orchestration, enterprise design, and web services components that are the foundation of the Sci-Log system.
Rapid Evaluation of More Routing Options (click image for a larger version)