# PREDICTIVE PACKING

## Business SELF SERVICE PREDICTIVE PACKING
Eliminate the guess work when quoting and create accurate, cost-reflective parcel & freight quotes for customers as soon as orders are placed.

Under-quote by $8, lose the margin.

Try to fit in one box, waste time.

Predictive Packing automates the box or pallet selection process to reduce shipping costs and avoid lost revenue & unprofitable sales. Its self-serve configuration and exclusion rules make it easy to use across numerous packing workflows, and its implementation is straightforward for system administrators.

## Guessing vs. Predicting

### Because misquoting drives costs up and sends customers to competitors

Assume it needs two boxes, waste.

### SELF SERVICE PREDICTIVE PACKING

#### Without predictive packing

#### Over-quote by $8, lose the sale
(whether over/under the "guess") Revenue and margin protection

Eliminate time-consuming packaging guessing.
Potentially find a lower shipping rate.

#### With predictive packing

#### Quote reliably, based on actual cost

**One order. Two shipping scenarios. What’s the answer?**

**Weight:** 20lbs  
**Box:** 1 medium  
**Rate:** $20.71

**Weight:** 20lbs  
**Box:** 2 small  
**Rate:** $28.78

## Knowing which packaging/rate is "real" means real control over your shipping.

### Business

### Benefits

#### Accurate quotes

Quote accurate shipping charges at the time of order, based on the number of boxes and dimensional weight.

#### Efficient warehouse ops

Avoid wasting time spent guessing what boxes to use for a given shipment, or wasting resources by using too large a box or quantity of boxes.

#### Workflow flexibility

Quote within e-commerce checkout, during ERP order processing, or directly in the 3G interface during shipping.

### Mode flexibility

Recommendations of number of boxes or pallets.

### Markup flexibility

Use settings to add predetermined markups to any or all shipping quotes.

**Greater certainty**  
Don’t risk losing business by quoting too much or losing margin by quoting too little.