With LogiNext, high-end machine learning enabled logistics optimization rounds off at the end with human-driven achievements. In the world of fast-moving deliveries, this balance creates a sustainable and scalable model of efficiency.

Retail, as we grown to recognize it, might not exist in the near future. This isn’t another retail doom warning. On the contrary, it’s about how the retail and e-commerce space is fast evolving. These players must give convenience wrapped in a neat delivery experience.

Gone are days of static analysis and planning. Deliveries are made not within charts and tables. They are made live, so should their scheduling and routing. All live. You know everything one glance, you can do everything in one click.

Static planning is a function of yesteryear. Wake up to new-age dynamic route planning for your field agent management. Most of Fortune 500 companies are maximizing the value of their active field agents using intelligent planning and optimization. It’s the most appropriate tool at the hand of managers to reduce costs and improve efficiency.

Technology has enabled us to record, plan, allocate, dispatch, track, validate, and analyze all freight movement from a single dashboard with clear and real-time actionable insights in an easy-to-understand format. This leads to an agile, reactive, and dynamic setup for a company’s transportation management system.

Optimization is doing more with less while sustaining (or bettering) the efficiency of operations. With multiple orders and shipments constantly moving with an excess of customer requests and demand, fulfilling on-time deliveries consistently not only saves costs but also increases the overall brand value for the company.

With effective schedules and permanent journey plans for the delivery and field agents, resource movement cost can be reduced while increasing overall resource utilization. Shorter distances traveled with lesser detention leads to higher number of deliveries fulfilled and visits accomplished.

Enterprise mobility solutions are unlocking a new phase of benefits with respect to resource movement efficiency. With multiple industries and markets getting more and more focused on consumerism while finding new and better ways to satisfying the increasing global retail and e-commerce demand.

Under-utilized capacity carries a clear cost which adds to the cost-per-unit carried by the resource. It isn’t feasible to run under-utilized resources to fulfill the ever-increasing demand created due to expectations of on-demand, same, or next day deliveries. On-demand and preferred slot delivery (or pick-up) is made more efficient with the use of an auto-allocation engine.

We recently integrated with Alexa, Google Assistant, Cortana, and Siri. Now, the manager can simply relax and instruct their personal assistant to fetch the information for them. Almost anyone can use the personal assistant without any hassle. It doesn’t matter if they are tech-savvy.