We help consumer goods companies gain insight into delivery of their goods and people.See the DS Model
THE DS MODEL
Being able to have data (and inferences on that data from a smart self-teaching system) enables consumer goods companies (and their transporters) to plug leakages in the system that in the developing world can be up to 25% of the value of the goods being transported.Market Pain
Data about goods, locations, routes, personnel and workflow are taken through the use of linked devices
Acquired big data is interpreted and insight is inferred through cloud-based engine
Using insights gotten from data analysis, clients can make decisions that reduce losses and increase revenue
Major transparency issues in order-to-cash and order-to-delivery process for consumer goods companies (telecommunication companies, fast-moving consumer goods companies, oil & gas downstream/marketing companies) leading to theft (of products and cash remittances), trading on company's funds and inefficient/fraudulent routing of work to transporters.
Paper (and Excel in some cases) - based solutions that are heavily manual with tons of errors and reconciliation issues.
Trackers on vehicles, but these don't confirm that delivery was actually made, quantities, nor condition of delivered items. They confirm that the vehicle arrived at the destination, that the ignition was turned off, and the amount of time the vehicle spent at the location.