HyperC: supply chain intelligence

AI Automation for end-to-end Supply Chain Management for online retailers.

Challenges

The company was a brand new startup, was at the beginning of its development road, and needed our support with finding investors for initial funding, as well as first clients.





Project Information

  • Category: Marketing
  • Industries: Supply chain intelligence
  • Duration: 4,5 years
  • Total Interested Replies Generated: 200+
  • Total Scheduled Calls: 150+
  • Generated Opportunities: Over $5 million In Pipeline
HyperC: supply chain intelligence

AI Automation for end-to-end Supply Chain Management for online retailers.

Built in Silicon Valley, HyperC is an intelligent workload and cost optimization tool revolutionizing the supply chain by applying algorithms from self-driving cars.

HyperC is the AI solution that improves purchasing decisions and increases profitability in record time. With HyperC retailers can dynamically integrate all of the Supply Chain data from various sources and empower their organization. HyperC is the only solution that combines back end data with demand planning for real time recommendations and predictive insights to maximize GMROI.

Challenges

The company was a brand new startup, was at the beginning of its development road, and needed our support with finding investors for initial funding, as well as first clients.

Solution

  • The market is extremely competitive, so we decided to deliver maximum value in the initial messages by using unique data points that we were able to collect from each prospect. Essentially, we were able to estimate all of our target prospect’s revenue by the number of products, sales, and prices that were listed on public platforms, including Amazon. Therefore, we’ve built a model that can estimate prospects’ current revenue and share our estimates in dollar value they can save when trying HyperC with numeric data. Once this was developed, we sent customized unique proposals to each prospect that are related to their specific situation with their number of products (SKUs) and sales volume. Many prospects were simply shocked by our accuracy and wanted to know how we got this data and this was a good conversation opener as we only used public data to run these numbers. The initial message built credibility and made it easier for sales reps to open a conversation.
  • Such levels of campaigns have immediately paid back and allowed to deliver $5+ Million in sales opportunities.
  • We created a working strategy for finding relevant funding opportunities
  • Established 5 go to market strategies for finding investors and potential clients
  • Generated 2-3 meetings a week with Amazon retailers Go to Market strategy with revenue over $5 million, in total 45 meetings with similar retailers were generated
  • BrightestMinds adjusted the strategy and approaches according to the changes that were implemented in the product itself down the road, which made the process scalable at all aspects 

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Results

  • Now 90% of the company’s revenue is generated from leads that we brought in the pipeline
  • Generated opportunities with over $5 million in pipeline with leading FMCG Retailers. 
  • Received 200+ Interested replies and 150+ Maybe later replies
  • Booked 150+ calls
  • Sent out 60k+ emails and 18k+ LinkedIn connection requests
  • Found investors that funded the project from scratch
  • The company team grew from 3 people to 10+ during the development process
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