Customer Results
Nothing speaks better about software than results. Below are four examples of how EVOS SmartTools has successfully helped customers of all sizes with diverse needs.
Four companies,
four amazing results
Every shipping business has unique needs when working with EVOS SmartTools, resulting in distinct outcomes. Click on any of the businesses to the right to read more about their specific results.
Outdoor Sports Company
Simple Mode Selection
Initially, their system involved generating an order by sales, which created a pick ticket. The warehouse would then pull the inventory and ship it immediately. This was inefficient and caused freight costs to rise.
The potential of saving about $20,000 per month is shown through load optimization. By waiting a full day before processing picks and then running them through EVOS PlanTools optimization process, the savings are realized quickly.
The business has been saving an average of $412,000 per year (between $35K – $40K per month) in optimization. Additional results below.
Average saved per month
Hour shipment consolidation
SKUs updated for data integrity
Hours saved daily by crew
Packaging Company
Load
Planning
Before partnering with us, this packaging industry customer was not combining their delivery orders. They sought to discover new strategies that would work best for their business and better adapt to their dynamic environment.
The plan was developed to adjust shipment patterns to accommodate rigid consignees, avoiding the combination of their freight with other customers’ shipments. A new optimization program at two separate times per day, provides flexibility and efficiency with the utilization of over 400 parameter settings across input combinations.
The customer has achieved savings ranging from $10,000 to $50,000 per month, totaling approximately $320,000 per year based on 2023 data.
Average saved per month
Parameter settings
Load types available
Flexible load creations
Electrical Supplier
Planning
Fleet Drivers
A national electrical products supplier operated their complex business using an outdated paper-based system across a combination of local mom-and-pop carriers, third-party common carriers, and a dedicated fleet of drivers located at eight different facilities.
The overall goal was to address the paper problem and integrate as much detail as possible into the optimization program’s rules and parameters.
The business has been saving an average of between $35K – $40K per month in optimization. Additional results below.
Orders planned monthly
Reduction in carbon emissions
Parameter settings
Hours saved per week
National Sports Retailer
Inbound Optimization with Consolidation
A national sports retailer approached us with an existing optimization software that their team didn’t fully understand. A consultant had set up the program, then left, leaving the team to rely on “auto-pilot.” Each day, if improvements or changes were needed, they had to figure it out on their own.
To develop a new optimization program tailored to their custom needs, addressing a complex model involving small parcel, LTL, single stop TLs, multi-stop TLs, and pool points. The model includes a feedback loop, crucial for inbound shipments from multiple locations.
The customer has achieved $412,000 in actual savings for the past year. Each shipper has been adhering to the plan, and deviations are addressed. Valid reasons for deviations are incorporated to prevent future issues. This continuous improvement process aims for a load plan that is as close to perfect as possible.
Average saved per year
Shipments consolidated
Reduction in carbon emissions
Larger ship date windows
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