parcel auditing services

Parcel auditing services: transforming businesses intelligently

by BlogSpend Intelligence

Small parcel audits in the U.S. are vital for all businesses. Parcel audits ensure that companies are not paying more to shipping carriers. Further, timely audits can unlock savings for companies.

Parcel auditing services are necessary for shippers in the U.S. It questions businesses about optimum usage of their shipping data for business growth. Our earlier blogs were on affordable parcel auditing services. The focus was on reducing shipping costs and identifying service failures with software. This article discusses the way parcel auditors use shipping data to help shippers. In addition, we will learn about the advanced technology that aids parcel auditing services save money for companies.

Parcel auditing services and data analytics

Parcel audits involve the process of studying the shipping invoices in detail. It also requires a review of carrier contracts and discovering unclaimed refunds. Technology in the form of data analytics helps shippers save money. As companies are aware, small parcel shipping generates lots of data. Analysis of the data helps in eliminating inefficiencies and errors. Parcel auditing services use the analysed data to control small parcel expenses.

What kind of Parcel data is important?

Understanding a company’s shipping profile is essential for parcel audits. Analyzing the following data on parcels helps shippers improve their bottom line. Data covering

  • the shipping weights of packages
  • the dimensional weight calculation of parcels
  • the shipping zones for shipments
  • the parcel delivery time
  • accuracy of shipping invoices
  • various surcharges of different carriers
  • minimum charges of lightweight packages

Further, knowing about the shipper’s data in carrier agreements is necessary. It helps shippers during carrier contract negotiations to save money.

KPI dashboards in Parcel auditing

Similarly, Key Performance Indicators (KPIs) are necessary to check a business’ progress. In addition, it helps companies identify problems and make quick, timely decisions. The KPIs include:

  • Number of orders shipped
  • Tracking the delivery time of shipments
  • Identifying potential shipping issues
  • Shipping costs during transit
  • Warehouse expenses

and more.

With this in mind, KPI dashboards are vital tools for parcel auditing services. The dashboards provide a complete view of the shipping data of businesses. For instance, KPI dashboards give information about the total shipping costs of different parcel carriers.  Further, the dashboards provide an overview of shipping activity, late shipments, refunds, etc. Thus, KPI dashboards provide shippers with customizable data visualization with performance indicators.

Importance of Business Intelligence in parcel  auditing

Business Intelligence (BI) plays a crucial role in parcel auditing. It provides shippers with shipping reports and dashboards for managing their shipments. So, let’s understand-

What is Business Intelligence?

Business Intelligence (BI) is software that utilizes business data and makes it user-friendly. BI uses data analytics, text mining, and machine language processes. BI tools collect, store and analyze data from businesses. The data presented to users is through graphs, dashboards, charts, and reports. Further, shippers utilize the information to understand trends and variances. Thus, they can take appropriate action.

Benefits of using BI in parcel auditing services

Shippers need detailed information about their shipping operations at their fingertips. Parcel auditing services use BI tools to collect and analyze data in real-time. Shippers receive the information in the form of reports and dashboards. Customized dashboards help in tracking shipping performance by benchmarking. Thus, shippers visualize their data and make informed decisions.

Parcel auditing services optimize the parcel shipping network with the help of BI. In addition, parcel audits help in consolidating shipping data. Further, it provides insights into critical KPIs. Parcel auditing services like Audintel help companies optimize their shipping needs.

How does Audintel deal with the shipping data of businesses?

Our data intelligence services include best-in-class cloud hosting. We have robust optimization tools and intuitive and customizable dashboards. In addition, we provide graphical visualization of KPIs. Audintel’s platform integrates seamlessly with legacy systems and processes. Our decision-making analytics helps shippers. Further, we compare multiple carrier contracts to give clients the best deals.

Audintel as a parcel auditing  service provider

Our AACE (Audit Advantage Cloud Ecosystem) platform uses BI to identify billing errors. Audintel uses AACE technology integrated with machine language (ML), saving shipping costs for companies. We spot all invalid, inaccurate, or unwarranted charges in shipping invoices. Audintel’s state-of-the-art technology platform manages complex supply chain challenges. Our dashboards are easy to use and allow shippers visual feedback on their business performance. In addition, our auditing services help shippers receive refunds directly in their accounts.

Final thoughts

Many parcel auditing services are available in the U.S. market. But choosing the right one for your business makes all the difference. As a shipper, it is vital to partner with parcel auditing services that increase your company’s revenues. Audintel uses cloud-based business intelligence tools to understand complex shipping data. We help businesses grow and manage their shipping costs in real-time. With Audintel, you can be sure that all your data is encrypted and secure. For information about our parcel auditing services, contact us on +1 (619) 354 8539 or visit our Audintel website.

optimixze

How do analytics & BI tools help optimize shipping costs?

by BlogSpend Intelligence

Optimization of parcel shipping costs is the goal of shippers. Data Analytics is helping shippers achieve this goal. Shipping contract negotiations help in getting the best rates from carriers. Similarly, new shipping software solutions give shippers insights to reduce parcel costs. In this blog, we will discuss the steps required to optimize shipping costs using data analytics.

Importance of analytics in the supply chain industry

There is an increasing demand from customers to deliver their orders on time. In addition, they expect free benefits from shippers. Shippers have to meet these demands and contain expenses. Data analytics is helping shipping companies meet the demand of customers. They can control the information overload by using Analytics. Further, Business Intelligence (BI) tools analyze shipping trends of companies. These tools are helping to improve shipping efficiency and reduce parcel costs.

Five steps to optimize shipping parcel costs

The steps that shippers take to improve shipping costs for parcels are:

1. Monitor performance of shipping carriers and their services

Real-time shipping data helps shippers to understand the performance of shipping carriers. For instance, with the data, they can identify if the parcel’s delivery is on time. Similarly, shipping carriers provide services like Ground, Express, Priority Overnight, and more. With data analytics, shippers can choose the service that will meet their delivery requirements. Audintel suggests alternate low-cost services for small parcel shipping.

2. Understand distribution zone usage

Today, customers are concerned with fast shipping time. So, shippers need to understand the different distribution zones for shipment. They have to consider the distance between the shippers’ location and the customer’s location. Further the packages are shipped, the more it will cost the shippers. Data that understands distribution zone usage is essential. It will determine if the shippers need to outsource the parcel to a central fulfillment center. By making small changes in the carriers operating in distribution zones, shippers can save additional costs. Audintel offers unique software solutions to shippers with discounts depending on zones.

3. Weight of packages

Data analytics gives insights on the way to handle shipments. They help in addressing issues related to parcel weights. Shipping carriers charge for bulk shipments. Combining multiple parcels and of differing weights together in a single package is a cost-effective strategy. DIM divisor influences the pricing of parcel weights. Alternatively, the dimensions of the parcel are more. Then shippers end up paying more for freight shipping. Shippers can reduce dimensional weight by making smaller packages. The dimensional weight analytics provided by Audintel aids clients in saving parcel costs.

4. Monitor special handling and associated fees

Analysis of weekly parcel data gives insights into the additional charges affecting shippers. Evaluation of accessorial fees is necessary to know the charges levied by carriers. In addition, it is vital to monitor the special handling fees. To avoid Residential delivery fees, shippers can use U.S. Postal Services (USPS) as last-mile delivery, thus saving money. Furthermore, Analytics gives shippers the freedom to ask for discounts from carriers. Audintel provides software solutions to help in mitigating the pain points of parcel shipping.

5. Outsource to a third party for contract negotiations

By aligning with a third party, shippers can reduce parcel freight rates substantially. Incidentally, it amounts to up to 40% savings for shippers. Third-party experts can negotiate with carriers like UPS and FedEx for discounts. They have helped in reducing surcharges. In addition, the negotiations done by outsourced experts give a competitive edge to shippers.

Audintel’s role in optimizing shipping costs

Audintel has an evidence-based learning software system. It is a one-of-a-kind software system that evaluates a client’s shipping profile. The experts at Audintel support clients with contract proposals and negotiations. Based on the historical shipment data, Audintel gives suggestions to clients for reducing parcel costs. Audintel helps its client realize its goal of cost-effective negotiations. Shipping data analytics helps its clients adopt long-term and cost-saving services.

Concluding remarks

Big data analytics is changing the supply chain industry. BI tools help in gathering relevant shipment information, useful for shippers. Analysis of shipping data helps shippers strategize ways to reduce shipping costs.

Audintel uses analytics to cater to your shipping needs. For further details, write to us at [email protected] or contact us at +1 (619) 354 8539. Please visit our Audintel website.

smart

Parcel Shipping Systems Enhanced: Using Data Analytics

by BlogSpend Intelligence

Small parcel shipping charges are costly. For this reason, customers opt for products that have a “free shipping” tag. E-commerce giants like Amazon are cashing in on this term. As a result, to outdo their competitors, shippers need to control costs. This article addresses the different ways shippers cut parcel shipping costs using data analytics.

Parcel shipping and logistics are complex processes. Here, we will understand the parameters affecting shipping costs.

Factors affecting parcel shipping costs

Parcel shipping involves high expenses. The expenses are dependent on factors such as:

  • Parcel destination
  • Delivery speed
  • Parcel size
  • Parcel weight
  • Carrier rates
  • Customs duty, taxes, etc.
  • Shipping insurance
  • Delivery surcharges

Shippers have to consider these factors for reducing parcel shipping costs.

Key Performance Indicators (KPI) of Parcel Shipping

KPIs are equally essential in understanding parcel shipping costs. Consider the following KPIs

  • Spotting potential shipping issues
  • Accuracy of order
  • Tracking the delivery time
  • Costs incurred during transit
  • Warehouse expenses
  • Numbers of orders shipped
  • Accuracy of inventory and turnover

Understanding these KPIs will help in controlling shipping charges.

How is data analytics helping?

Parcel shipping generates tons of data. Analysis of the data helps in optimizing supply chain and logistics management. Data analytics of the shipping data controls your parcel spend. Shipping analytics simplifies the process and brings transparency. Automating decisions and implementing real-time analysis reduces shipping costs.

Role of predictive analytics in shipping

Predictive analytics give shipping insights to shipping companies. It improves the efficiency of shipping services. As well as assesses what the future holds. In addition, it can identify any preventable conditions. Shipping software with programmed algorithms makes systems easy to use. So, shippers get actionable data at their fingertips.

Five ways to cut parcel shipping costs

Predictive analytics helps shippers lower parcel shipping costs. Shippers maximize parcel savings by tracking small parcel shipping spend.  Thus, the future of parcel shipping lies with shipping analytics.  It can optimize shipping performance. There are five ways in which it can achieve this.

1. Collection of shipping data

Shipping data is complex and disparate. It is present in shipping carriers and third-party systems. Automating data capture is vital in data collection.  Automation can separate data collection.  For data analysis, current shipping data is relevant.  It gives insights into reducing shipping costs.

2. Optimizing and normalizing data

Optimizing shipping data is beneficial for companies. The collected shipping data is filtered. It gives companies the most efficient shipping process. Normalizing shipping data is storing it in a single archive. Each parcel is analyzed effectively. Robust, cloud-based shipping software can help in normalizing shipping data.

3. Utilizing real-time analytics

Automated systems can utilize real-time shipping data for decision-making. Predictive analytics use the normalized data on a user-friendly Business Intelligence (BI) platform. Experts will examine the data and point out process improvements. Real-time analytics is problem-solving shipping processes.

4. Streamlining communications with partners

Engaging in discussions with the shipper’s partners is necessary. As partners, who are vendors or carriers can exchange shipping data with shippers. This communication between partners will streamline the shipping process. Robust contacts will help predictive analytics.  It gives insights on methods to reduce shipping costs.

5. Responding to real-time data

Up-to-date information is easy to use in controlling shipping spend. Shippers can view parcel shipping expenses in real-time.  There is an instant correction of any mismatch in data. Shippers use real-time data to make informed decisions instantly. Small parcel shipping costs will reduce by responding in real-time.

Maximizing parcel shipping profits

Every shipping company’s goal is to protect assets and maximize profits. Shippers can achieve this by reducing shipping costs. The use of data analytics is improving parcel delivery services. In addition, parcel shipping systems need to be automated to stay ahead of the competition. Audintel is the guide for shippers in maximizing parcel shipping profits.

To Summarize

Shippers get repeat business by keeping customers happy. Further, if you reduce shipping costs, you earn more customers. Therefore, there is a need to automate parcel shipping systems. Technology like data analytics is enhancing parcel shipping systems.

Hence, Audintel has an intuitive state-of-the-art Technology Platform. It provides supply chain analytics technology.  And so, the user can extract actionable business insights. For further queries, please visit Audintel or contact us at +1 (619) 354 8539 or mail to [email protected].