Conga Advantage CPQ

The main use case for using Conga CPQ is to make the business very easy and configure the products. Users can see the price, prepare a quotation with point-and-click tools and buttons, and it is very easy to generate the document and share it with customers.

In day-to-day work, when the business is configuring and needs to sell the products to another business in a business-to-business scenario, they easily use Conga CPQ. They configure the products in the back end, set up the prices for the products, set up the price lists, define the rules, and set up the attributes. Everything built is in the back end. In the front end, the sales user just clicks on the buttons, creates records, selects the product, selects the price, and sends for approvals, generates the documents, and sends it to the customer.

The main use case is to give solutions to the business where they can do the sales very quickly and close the sales very quickly. They can make their customers very happy by using Conga CPQ.

Our organization is mostly handling Conga CPQ projects. The customers have been very impressed with the projects we received, and our organization has gained many benefits as a profit. By that, our employees also gained significant knowledge and earned money from that success.

Before Conga CPQ solution was published to the customer, they were using manual work and creating products manually. If a new product came, they were creating it from scratch, everything manually. It took them more than five months to onboard the product to go-live. After the Conga CPQ implementation was done, the business increased rapidly. They can create the products and do all those things within one day, and they can go live within one week, and the users can sell the products within one or two weeks. They increased the profits, increased the sales, and increased everything.

Conga CPQ offers the best feature in that it can handle many thousands of products. It can give multiple currencies, allowing sales in multiple currencies. Conga CPQ supports multi-currency fields and multiple features that a product can have. Based on the features, the price can vary, and those kinds of things can also be handled by this product. The most important thing is generating the documents. The quotation document is the main thing to show to the customers before they purchase any product. Showing the documents and downloading the document is very easy in Conga CPQ and very useful to businesses, such as large-scale businesses, to generate quotations.

Generating the document and preparing a quotation in a simple way is the best way. I thought this is the most valuable thing for the customers because in day-to-day life, if they are using multiple Excel files or something to generate a document or prepare a document and provide that to the customer, by using Conga CPQ, they can easily just by clicking on some buttons, generate the documents with a multiple number of products. There could be thousands of products, but it is easy to generate the document with one click.

It is easy for the sales user to select the products. If it is an Excel or something, it is very difficult to identify the products. But in Conga CPQ, it is very visible, and it is very easy to search, easy to identify, easy to use, and add them to the cart. The user interface itself is also very good and user-friendly for every sales user.

Conga CPQ has some drawbacks. If you have a larger number of products that should be added to the cart, the cart is taking so much time to load. In that case, sales users should wait for some time. However, it is not comparable to the manual process; it is much better. If the number of products being added to the cart is more than 5,000, in that case, the cart is a little slow, which is a drawback I identified.

The loading of bulk products is the one thing I have identified so far.

Conga CPQ can increase the cart loading functionalities, which are not loading at all if you have a large number of products. I think that solution has also come into the picture now that RLP has been implemented. That is also being taken care of.

I have been using Conga CPQ for the past four years.

Using artificial intelligence, the scalability has been increased, the performance has improved, and the deliverables have been done within the estimated time allocations. Artificial intelligence is bringing all those things very fast. Artificial intelligence is benefiting Conga CPQ functionalities.

It has been increased when compared to previously. Artificial intelligence has been helping people to understand things and providing solutions that can be fixed immediately. I would think scalability and performance have been increased with the artificial intelligence capabilities.

It is a private cloud. Our organization is using a private cloud from the client's suggested one. We are not using any public cloud to deploy the sources to other environments.

We are using Bitbucket and Git for the deployments.

I would suggest that businesses, such as large-scale businesses, can acquire and use Conga CPQ because using Excel files and manual processes is very clumsy and it takes so much time to deliver the output. Using Conga CPQ will increase the performance, profits, and scalability of the businesses. I would rate Conga CPQ as eight out of ten.

I use out-of-the-box objects like price list item and price list to create a product and show it in the catalog, such as category, category hierarchy, and product hierarchy, while using attributes for any product features. I show or hide those attributes using constraint rules, and for any defaulting, I use product attribute rules, while approvals are used for approval discounts, and they create quotations for negotiations. I have the order object for the orders as well.

My main use case for Conga CPQ is digital E-commerce like Amazon and Flipkart, where I have something like PowerShop, a Hitachi Energy client. In PowerShop, they usually sell all electronic-related products, and users will log into that Angular framework PowerShop UI to select products, add them to the cart, and place orders for quotations, which I achieved all by using Conga CPQ.

Conga CPQ has positively impacted my organization by increasing more revenue through client satisfaction.

It has improved the quote-to-order revenue process accurately and generated more revenue by providing a rich user interface.

Conga CPQ offers the best features, particularly pricing, allowing me to achieve complex pricing with ease, such as using the totaling callback and base price callback.

When I mention callback-based pricing, it helps my team because initially, if I want to give a price to a product, I use the price list item with only one price possible, but using Conga CPQ allows me to change the price based on different business scenarios. I can use out-of-the-box price rules, and if customizations are needed for complex pricing, such as setting different prices for users or business units, I achieve this using the base price and totaling callback. The base price applies to each single product price, and totaling calculates the tax amount. For example, if the total cart amount is 20 lakhs, I can calculate the required tax, and I can do all of this in the totaling.

Conga CPQ could be improved as it has recently launched Conga RLP, a Revenue Lifecycle Platform, to enhance performance. However, I am currently facing many difficulties with data synchronization, and it has several loopholes not working as expected in Turbo, such as validation callbacks working fine in Turbo but failing in RLP. I have encountered many issues recently and have raised these to the product team.

Regarding the needed improvements for RLP, data sync is the first issue, especially incremental sync and full sync. When I create a new field, I must perform a full sync, which takes a lot of time. The initial org setup also consumes time, and tracing failed syncs for related records is difficult. Furthermore, these validation messages, error messages, and warning messages that compare old and new JSON values, along with cascading from parent to child, even when blank, have a lot of issues. There are also many discrepancies in approvals, with backend queries returning one value and displaying a different value in the UI.

Currently, Conga CPQ is performing well. If Conga RLP can expedite its processes and resolve all open related bugs, as well as increase the product and engineering team size, it will benefit many clients, allowing them to switch from Turbo to RLP with fewer issues. In RLP, increasing the team solving product bugs would lead to faster pricing and overall improvements.

I have been using Conga CPQ for the past four years.

In my experience, Conga CPQ is stable.

Regarding Conga CPQ's scalability, it is good since I can adapt to more clients and encourage them to switch to Conga CPQ for better user experience and quick quote-to-order placements, enabling them to expedite the ordering process. By using Conga CPQ or Conga RLP, orders and quotes can be placed more rapidly, decreasing process times.

Conga CPQ's customer support is good, as they prioritize issues based on urgency, so if there is a P0 issue, they handle it quickly, and I receive good and prompt responses with great resolution.

I have not used a different solution before Conga CPQ; I have been using Conga CPQ since I joined the project.

Before choosing Conga CPQ, they evaluated Salesforce CPQ, but it does not support complex pricing and approvals. The out-of-the-box features of Salesforce CPQ require extensive customization, whereas Conga CPQ offers many out-of-the-box features, requiring much less customization.

I have experience with pricing, setup cost, and licensing, having worked with out-of-the-box price rules, price dimensions, and price rule sets. I have also dealt with base price callbacks and totaling callbacks and set up list prices and base prices on the price list item. I have debugged issues related to net prices, such as understanding why a specific net unit price is displayed. I possess considerable knowledge in pricing, and only Conga CPQ can achieve complex pricing, a capability other CPQs such as Salesforce CPQ lack.

I would rate Conga CPQ an eight out of ten.

I chose eight out of ten for Conga CPQ because, as I mentioned, I can handle complex pricing and approvals effectively. However, the two points deducted are due to new issues arising since they moved to RLP. As it was recently launched two years ago, it requires more improvement, and clients expect quicker resolutions and more new features.

Concerning Conga CPQ's AI capabilities, my organization currently uses GitHub Copilot in my project, with the code base repository having access to Copilot. I also have a notebook LLM for Conga RLP, providing accurate results, saving my time by allowing me to ask or prompt it for precise inquiries.

Regarding Conga CPQ's AI capabilities and the accuracy and reliability of output, I find it accurate since I have Copilot and notebook tools. If a Conga product has an AI feature capable of accessing the repository and offering the same results for code optimization and analysis, it can save time in both development and debugging. The notebook LLM also provides accurate results, and if the product team could develop something similar, it would enhance accuracy and expedite delivery.

In my organization, many projects are using Conga CPQ, usually working through these E-commerce websites to build the E-commerce and for shopping.

Initially, I had two or three clients only, but once Hitachi Energy became successful, I acquired more clients such as Roche and some others that I am not directly working on.

I advise others looking into using Conga CPQ to consider it if their business has complex pricing and approvals, as other CPQs may not achieve these efficiently. If they want improved user experience and faster cart loading performance, then they should definitely switch to Conga CPQ.

My company has a relationship with Conga, as I take help from them regarding this product; however, I am not aware of the exact nature of the relationship.

My overall rating for this review is eight out of ten.

I have been using Conga CPQ for 3.5 years.

For Conga CPQ, we mainly use it to sell customized products to end customers. We have customized many products, such as Cobas medical products, providing many attributes and option products. Additionally, I have used Conga CPQ previously in an e-commerce site where users can select products from a catalog, add them to the cart, and create a quotation. The front end is in JavaScript, with data stored in Salesforce, and sales representatives can configure products accordingly.

When configuring a product such as a computer, there may be various cases involving RAM size, ROM, and hard disk. We provide attributes such as RAM where users can select from options including 4 GB, 8 GB, 16 GB, or 24 GB. For ROM, it may be 256 GB or similar, along with including licenses and guarantees as add-ons. This is one example of a product configuration scenario.

There are many out-of-the-box features available in Conga CPQ compared to other CPQ systems, and we can easily customize the entire CPQ itself using many customizations and APIs that are not available in other systems.

Out-of-the-box APIs are the best features that Conga CPQ offers, as everything can be customizable.

The product bulk loader is a feature that has helped my team significantly. For instance, in other CPQ systems, implementing similar features requires extensive customization. However, with Conga CPQ, using the Add Multi-Prod API, we only need a CSV file with product codes and quantities. We check for any active price list items and prepare a wrapper class to input data to that API, which simplifies creating a cart with products.

Conga CPQ positively impacts my organization with many ongoing projects involving its features. People appreciate its extensive features and the support from the Conga team, who respond immediately to any cases we raise.

There are a few manual steps we need to take, such as handling a complex approval process in Conga CPQ. Deploying data from lower organizations to higher environments can be challenging, so Conga should consider improving the deployment of approvals. Additionally, there are maintenance tasks, such as product rule or price rule maintenance, that need automation to prevent errors. Performance issues exist since Conga CPQ cannot load 200 or 250 products on the cart page.

I have been working at Infosys for almost the entire time since I started in my current field.

Conga CPQ is stable.

Conga CPQ can handle a huge amount of data seamlessly, with many organizations utilizing thousands of users.

The customer support is very good, as they respond immediately to any inquiries.

Previously, we used Salesforce CPQ and Sales Cloud solutions, which required a lot of customizations that slowed down the system. In contrast, Conga CPQ offers numerous out-of-the-box features, which is why we switched.

Others looking into using Conga CPQ can proceed without issues, but it is important to consider their budget.

We have a separate admin team handling pricing, setup costs, and licensing, but I manage to set up a few products. For pricing, we mainly use Price List Items, and some ERP systems provide pricing for other products when we add them to the cart. We have used Turbo and are currently using the RLP system.

If we train the model, it may take some time, but having the AI functionality is definitely going to help many developers.

We did not evaluate other options before choosing Conga CPQ and directly chose it.

I find Conga CPQ to be very secure. It is more secure because whenever we encounter an error, we often cannot find information online, and the only resource available for checking errors is the Conga documentation. I rated this review a 7.5 overall.