Cargoful is the next-generation Transportation Management System (TMS). It orchestrates logistics services and enables fully customizable and action-oriented workflows. The user can freely decide which services (e.g., planning parameters, transportation type, navigation tools) fits her best and automate complex, manual and time-consuming tasks to optimize her time and her fleet. Our solution is:
1) Self-configurable, the user can choose directly from the interface the configuration that her company really needs, without having an in-house IT department or having to pay external software houses to do the job.
2) Open, our solution is integrated with best-of-breed logistics services and telematics to feedback data from the field and eliminate the need to navigate a jungle of several siloed solutions.
3) Extremely user-friendly, we built a solution for the XXI century that is able to meet the complex requirements of transportation while providing a modern interface to logistics professionals.
Cargoful is a workflow-based platform and not a standard TMS. Because it can answer exactly to the company's needs, our solution allows to easily automate activities, optimizing resources and time.
Today trucking companies spend 35% of their time in data management activities, of which 80% can be automated. With Cargoful, we save 75% of dispatchers and traffic employees time and allow them time to focus on finding and accepting new loads to increase utilization and grow their revenue.
Let's take planning (the order-to-truck allocation) as a practical example. Nowadays, most trucking companies plan their fleet manually because their legacy TMS do not incorporate a planning module and, when they do, this is not customizable to their needs. Planning tasks are complex and extremely time-consuming (to give a benchmark: the routing options to make 10 deliveries are 3.6 million) and clearly "a computer's job". However, the tool must be tailorable to consider the companies modus operandi (such as suitable roads, delivery slots, truck/van characteristics, driver expertise, etc) otherwise whatever the result is, the company won't be able to replicate it in reality and will lose faith in the tool's ability to meet their requirements. This is one of the problems that our self-configurable and optimization platform solves brilliantly.
Boosted by e-commerce, trucking is witnessing an unprecedent amount of load requests. However, because of inefficiencies and suboptimal planning, the utilization of the fleets is stuck at only 70%.
Legacy IT tools (as current TMS solutions adopted by the largest companies) are slow, non-smart and extremely hard-to-use, requiring to hire experienced professionals to operate them, an incredibly difficult task considering the severe lack of personnel in this industry. Moreover, the implementation of such solutions – required to personalize the software to meet the actual company's needs – is extremely lengthy and takes several months (and some times years). On top of not being able to solve the fleet optimization problem (e.g., minimizing the total kilometers travelled by the fleet), the necessary level of personalization, the long implementation time and the technology debt of these legacy tools make them very expensive and not affordable for small and medium logistics companies.
On the other hand, the past few years have seen an explosion of "take-it-or-leave-it" TMS solutions that are smarter, faster and leaner. Because of the simpler constraints and requirements, these solutions almost always focuse on the last mile logistics. Although they represent a clear improvement from a technology standpoint, they still lack the level of personalization that is required in a industry that is as complex as the trucking one (definitely in the long haul transportation, but even in the last mile logistics).
We think that, in the trucking space, "one size does NOT fit all". This is why we built our solution in a fully flexible way, so that the user can self-configure it directly from the UI, without need of writing a single line of code and without forcing her to adapt the company's operations to the IT solutions. The other way round, in fact.
