Your partners in
Freshness Intelligence™

You know freshness is important for consumer perception, but can’t currently measure how much freshness you are giving them. 

Your product specifications include a minimum delivered shelf-life requirement, but you lack visibility into how much actual shelf-life you receive with each shipment.

You would like more
shelf life from your suppliers, but aren’t sure how much more is possible.

Your quality control team only has capacity to test a small percentage of shipments received, while your suppliers have detailed quality measurements for every piece of fruit.

Your transportation department has cut delivery frequency to save costs, but isn’t aware that the benefits of more frequent deliveries would far outweigh the costs.

Your replenishment system uses fixed shelf-life assumptions, but actual shelf life is highly variable, leading to suboptimal replenishment decisions.

Your ordering and delivery schedules are misaligned with your supplier’s production schedule, leading to lost days of freshness.

You know there is tension between in-stocks and shrink but haven’t considered whether incorporating freshness could partially resolve that tension.

You want to
predict and prevent supply chain issues
rather than diagnose them after they happen.

You want an
objective evaluation
of the accuracy of your demand forecast.

You know freshness is important for consumer perception, but can’t currently measure how much freshness you are giving them. 

Your product specifications include a minimum delivered shelf-life requirement, but you lack visibility into how much actual shelf-life you receive with each shipment.

You would like more
shelf life from your suppliers, but aren’t sure how much more is possible.

Your quality control team only has capacity to test a small percentage of shipments received, while your suppliers have detailed quality measurements for every piece of fruit.

Your transportation department has cut delivery frequency to save costs, but isn’t aware that the benefits of more frequent deliveries would far outweigh the costs.

Your replenishment system uses fixed shelf-life assumptions, but actual shelf life is highly variable, leading to suboptimal replenishment decisions.

Your ordering and delivery schedules are misaligned with your supplier’s production schedule, leading to lost days of freshness.

You know there is tension between in-stocks and shrink but haven’t considered whether incorporating freshness could partially resolve that tension.

You want to
predict and prevent supply chain issues
rather than diagnose them after they happen.

You want an
objective evaluation
of the accuracy of your demand forecast.

You know freshness is important for consumer perception, but can’t currently measure how much freshness you are giving them. 

Your product specifications include a minimum delivered shelf-life requirement, but you lack visibility into how much actual shelf-life you receive with each shipment.

You would like more
shelf life from your suppliers, but aren’t sure how much more is possible.

Your quality control team only has capacity to test a small percentage of shipments received, while your suppliers have detailed quality measurements for every piece of fruit.

Your transportation department has cut delivery frequency to save costs, but isn’t aware that the benefits of more frequent deliveries would far outweigh the costs.

Your replenishment system uses fixed shelf-life assumptions, but actual shelf life is highly variable, leading to suboptimal replenishment decisions.

Your ordering and delivery schedules are misaligned with your supplier’s production schedule, leading to lost days of freshness.

You know there is tension between in-stocks and shrink but haven’t considered whether incorporating freshness could partially resolve that tension.

You want to
predict and prevent supply chain issues
rather than diagnose them after they happen.

You want an
objective evaluation
of the accuracy of your demand forecast.