Case Study: Early Adopters of Returns Automation
Nearly a year after our official launch of the Returns Automation product, we were curious to hear about the experiences that early adopters were having with the returns management software.
We asked each of them a list of questions about their returns challenges before Returns Automation, the benefits they’ve seen after implementing it, and what their customers have been saying about their improved returns processes.
This case study white paper dives deep into the responses of these early users to unveil how Returns Automation has revolutionized their returns processes and driven clear ROI.
Case Study: Power Players of Delivery Network
Following extensive development over the years, our Delivery Network now integrates with a diverse range of delivery providers and a growing user base. Within that user base, there is a select group that uses our network daily. To fully understand the extent of the benefits Delivery Network can provide, we turned to them to hear their experiences.
We coined the term “power players” for these users, all of whom diligently use Delivery Network on a daily basis. To ensure a variety of experiences, we intentionally selected power players from varying geographical locations, roles, company sizes, and years of experience with Delivery Network.
This case study white paper dives deep into the responses of these “power players” to uncover how the regular use of Delivery Network has revolutionized their last-mile deliveries and generated tangible returns on investment.
The Reverse Logistics Hassle
Product returns are a necessary but costly hassle to deal with in any logistics operation. Customers more and more are ordering their products online and expecting them delivered fast, but now that comes with an additional expectation of an easy-to-navigate returns process.
In this white paper, we dive into the various logistical challenges companies face when trying to meet this expectation and implement a smooth reverse logistics process. Though this paper focuses specifically on the world of wholesale and aftermarket automotive parts, its findings can be applied to any last mile logistics operation.
Third-Party Delivery Reimagined
Third party logistics (3PL) has evolved from being a popular buzzword in the logistics industry to a standard and sometimes necessary practice to streamline logistics operations. One such form of 3PL in the last mile has been coined “third party delivery” and involves companies outsourcing the on demand delivery of their products to third party fleets like Lyft, Uber, Doordash, and more.
In this white paper: “Third Party Delivery Reimagined”, we explore the first major implementation of third party delivery in the restaurant industry during Covid-19. This piece dives into the positives of this form of 3PL during this time and, more importantly, the shortcomings that these companies experienced. What you’ll find is that third party delivery in its current form of one-to-one partnerships is flawed and is not the best way to utilize these third party fleets for on demand delivery.
Steps to Automating Last-Mile Deliveries In 2024 & Beyond
With the meteoric rise of AI and ML algorithms recently, it’s nearly impossible to tell what technology is ready for implementation into logistics operations…and what technology is just riding the hype. In this white paper, we cut through the buzzwords surrounding the topic of logistics automation and answer the question:
What automation opportunities are ready to implement into your operations today?
Discover 5 key technologies that are automating last-mile deliveries today, not some indeterminant date in the future.
In this white paper, we dive deeper into each of these opportunities and the benefits they can offer for automating deliveries. We also provide a blueprint for how companies can implement all 5 of these technologies at once to revolutionize their last-mile delivery operations.
Case Study: Early Adopters of Returns Automation
Nearly a year after our official launch of the Returns Automation product, we were curious to hear about the experiences that early adopters were having with the returns management software.
We asked each of them a list of questions about their returns challenges before Returns Automation, the benefits they’ve seen after implementing it, and what their customers have been saying about their improved returns processes.
This case study white paper dives deep into the responses of these early users to unveil how Returns Automation has revolutionized their returns processes and driven clear ROI.
Case Study: Power Players of Delivery Network
Following extensive development over the years, our Delivery Network now integrates with a diverse range of delivery providers and a growing user base. Within that user base, there is a select group that uses our network daily. To fully understand the extent of the benefits Delivery Network can provide, we turned to them to hear their experiences.
We coined the term “power players” for these users, all of whom diligently use Delivery Network on a daily basis. To ensure a variety of experiences, we intentionally selected power players from varying geographical locations, roles, company sizes, and years of experience with Delivery Network.
This case study white paper dives deep into the responses of these “power players” to uncover how the regular use of Delivery Network has revolutionized their last-mile deliveries and generated tangible returns on investment.
The Reverse Logistics Hassle
Product returns are a necessary but costly hassle to deal with in any logistics operation. Customers more and more are ordering their products online and expecting them delivered fast, but now that comes with an additional expectation of an easy-to-navigate returns process.
In this white paper, we dive into the various logistical challenges companies face when trying to meet this expectation and implement a smooth reverse logistics process. Though this paper focuses specifically on the world of wholesale and aftermarket automotive parts, its findings can be applied to any last mile logistics operation.
Third-Party Delivery Reimagined
Third party logistics (3PL) has evolved from being a popular buzzword in the logistics industry to a standard and sometimes necessary practice to streamline logistics operations. One such form of 3PL in the last mile has been coined “third party delivery” and involves companies outsourcing the on demand delivery of their products to third party fleets like Lyft, Uber, Doordash, and more.
In this white paper: “Third Party Delivery Reimagined”, we explore the first major implementation of third party delivery in the restaurant industry during Covid-19. This piece dives into the positives of this form of 3PL during this time and, more importantly, the shortcomings that these companies experienced. What you’ll find is that third party delivery in its current form of one-to-one partnerships is flawed and is not the best way to utilize these third party fleets for on demand delivery.
Steps to Automating Last-Mile Deliveries In 2024 & Beyond
With the meteoric rise of AI and ML algorithms recently, it’s nearly impossible to tell what technology is ready for implementation into logistics operations…and what technology is just riding the hype. In this white paper, we cut through the buzzwords surrounding the topic of logistics automation and answer the question:
What automation opportunities are ready to implement into your operations today?
Discover 5 key technologies that are automating last-mile deliveries today, not some indeterminant date in the future.
In this white paper, we dive deeper into each of these opportunities and the benefits they can offer for automating deliveries. We also provide a blueprint for how companies can implement all 5 of these technologies at once to revolutionize their last-mile delivery operations.
When a Snowflake Turns into a Blizzard
12 Reasons Snowflake Costs Get Out Of Control
For many teams, Snowflake's data warehousing capabilities seem limitless at first. But as usage grows more sophisticated, costs can balloon if not kept carefully in check. When Snowflake bills start arriving much larger than expected, it's time to tame the proverbial blizzard before it buries the budget.
This ebook focuses on twelve common culprits that can cause Snowflake costs to rise unexpectedly and a practical solution specific to analytics. From inefficient queries to oversized warehouses to unexpected data growth, these cost creep issues often happen gradually beneath the surface. But their collective impact can add up to a budget-busting blizzard if not addressed.
Top 5 Challenges in Designing a Data Warehouse for Multi-Tenant Analytics
If you don’t properly design your data warehouse for multi-tenant analytics, you’re gonna have a bad time. Most data warehouses are built to efficiently store large volumes of data from numerous sources, not for end-users of SaaS platforms working with multi-tenant analytics. This architecture mismatch causes a variety of headaches. We’ll outline the top 5 challenges and explain how to have a good time instead.
The HIDDEN ROI of Embedded Analytics for SaaS Companies
As a SaaS leader, you know that end-user expectations encompass a seamless user experience, easy to use self-service analytics, and immediate data response times.
Delivering these features requires an embedded analytics solution with a different approach. One that includes both the user facing components and the data management layer to ensure the solution can scale and meet the custom needs of SaaS end customers.
Read this brief to learn FOUR areas for cost savings and FOUR monetization opportunities with embedded analytics that SaaS leaders need to know about.
How Embedded Analytics Helps Product Managers Exceed Their KPIs
PMs are the CEOs of their product. This challenging role requires people management, expectation management, and delivering business results. In a SaaS environment, the challenge is compounded as results are measured daily, monthly and quarterly.
However, new vendors have emerged to assist Product Managers in delivering cutting edge experiences to their end-users which align to important KPIs. Below are five ways embedded analytics help PMs exceed their key performance indicators.
A Product Manager’s Guide to Embedded Analytics
Our Embedded Analytics Product Fit Guide will walk you through the process of choosing an analytics provider and outline all of the steps involved. It was designed as a conversation starter to get you thinking about your specific needs, so you can align your requirements and priorities and ensure your analytics solution is a perfect match for your needs.
There are many considerations you should be thinking about as you evaluate different analytics vendors and solutions. It is important to both understand your needs and specific requirements as well as know which of them are the most important priorities for your project.