Exceed.ai Boosts ResellerRatings’ Sales and Marketing Efforts by 40x
Applicable Industries
- Consumer Goods
- Equipment & Machinery
Applicable Functions
- Sales & Marketing
Use Cases
- Speech Recognition
About The Customer
ResellerRatings is a boutique company that is passionate about empowering consumers and providing brands with valuable consumer information to enhance the shopping journey. The company works with clients, including industry-leading companies such as Zenni Optical, JUSTFAB, FTD, and Vitacost, to help them understand what’s working and what’s not in their customer journeys. ResellerRatings’ goal is to turn buyers into advocates for their brand and lifelong, loyal customers. The company has a small but dedicated sales and marketing team that works closely with their Sales and Customer Success teams to achieve their goals.
The Challenge
ResellerRatings, a company dedicated to providing shoppers with a voice and brands with consumer information for an improved shopping journey, was looking to expand its client base. However, with a relatively small sales and marketing team, the company needed a solution that could enhance their outreach and lead nurturing efforts without increasing headcount. The challenge was to find a solution that could take the burden off their employees, who were spending countless hours on cold-calling and prospecting. The company needed a boost to its outreach and lead conversion efforts that wouldn’t require hiring more people.
The Solution
ResellerRatings found the solution in Exceed.ai’s Conversational AI technology. After implementing Exceed.ai, ResellerRatings was able to schedule 45 qualified meetings in one month, a significant increase from their previous average of one or two per month. The AI technology took over time-consuming processes and low-value tasks like scheduling initial meetings, follow-ups with leads, and lead nurturing, allowing the team to focus on higher-level tasks. Additionally, Exceed.ai’s conversational marketing platform helped ResellerRatings identify patterns and topics of interest among their customers, which they used to create content like FAQ pages and improve their onboarding process. The company was also able to use data from Exceed.ai to identify gaps in their customer onboarding process and make necessary changes.
Operational Impact
Quantitative Benefit
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
Related Case Studies.
Case Study
Smart Water Filtration Systems
Before working with Ayla Networks, Ozner was already using cloud connectivity to identify and solve water-filtration system malfunctions as well as to monitor filter cartridges for replacements.But, in June 2015, Ozner executives talked with Ayla about how the company might further improve its water systems with IoT technology. They liked what they heard from Ayla, but the executives needed to be sure that Ayla’s Agile IoT Platform provided the security and reliability Ozner required.
Case Study
IoT enabled Fleet Management with MindSphere
In view of growing competition, Gämmerler had a strong need to remain competitive via process optimization, reliability and gentle handling of printed products, even at highest press speeds. In addition, a digitalization initiative also included developing a key differentiation via data-driven services offers.
.png)
Case Study
Improving Vending Machine Profitability with the Internet of Things (IoT)
The vending industry is undergoing a sea change, taking advantage of new technologies to go beyond just delivering snacks to creating a new retail location. Intelligent vending machines can be found in many public locations as well as company facilities, selling different types of goods and services, including even computer accessories, gold bars, tickets, and office supplies. With increasing sophistication, they may also provide time- and location-based data pertaining to sales, inventory, and customer preferences. But at the end of the day, vending machine operators know greater profitability is driven by higher sales and lower operating costs.
Case Study
Predictive Maintenance for Industrial Chillers
For global leaders in the industrial chiller manufacturing, reliability of the entire production process is of the utmost importance. Chillers are refrigeration systems that produce ice water to provide cooling for a process or industrial application. One of those leaders sought a way to respond to asset performance issues, even before they occur. The intelligence to guarantee maximum reliability of cooling devices is embedded (pre-alarming). A pre-alarming phase means that the cooling device still works, but symptoms may appear, telling manufacturers that a failure is likely to occur in the near future. Chillers who are not internet connected at that moment, provide little insight in this pre-alarming phase.
Case Study
Premium Appliance Producer Innovates with Internet of Everything
Sub-Zero faced the largest product launch in the company’s history:It wanted to launch 60 new products as scheduled while simultaneously opening a new “greenfield” production facility, yet still adhering to stringent quality requirements and manage issues from new supply-chain partners. A the same time, it wanted to increase staff productivity time and collaboration while reducing travel and costs.
