Business Case
Business Case
Why we do, what we do.
The Problem
Market Complexity: Over 500,000 U.S. locations including stores, bars, restaurants, and retail spaces, serviced by numerous field sales reps.
Representative Challenges: Each rep often covers 80-100 accounts, facing stiff competition. BevSpark.AI employs predictive analytics and generative AI to elevate their sales strategies, ensuring optimal product placements and pricing.
Customer Base
Target Audience: Focused on beverage brand owners in the BevAlc space, especially those involved in strategic selling.
Scope and Scale: The U.S. beverage business exceeds $1 trillion, with the global market over $3 trillion. BevAlc itself is a substantial part of this, valued at $350 to $400 billion in the U.S.
Revenue Model
Implementation Fee: Charging for integrating BevSpark.AI into the customer's environment using edge computing with local data storage.
Subscription Model: A monthly per-seat fee for ongoing access to the app and continuous feature updates.
Value Proposition
Leveling the Playing Field: BevSpark.AI democratizes the sophisticated sales tools once exclusive to industry giants. It empowers smaller beverage players with advanced sales capabilities, akin to those used by leading companies like Coke, Pepsi, Diageo, and AB InBev.
Why BevAlc?
Regulatory Nuances and Data Integration: The BevAlc space's regulatory complexity and unique data sources like distributor-retailer sales data (e.g., VIP) and syndicated data that the customer has a license to (e.g., Nielsen, NABCA) make BevSpark.AI's expertise particularly valuable.
Sales Strategy
Venture Funds in Large Beverage Companies: Engaging with venture arms to deploy BevSpark.AI across their portfolio brands.
Top Local and Regional Players: Targeting the top three local and regional players in every market in the BevAlc space.
Technical Framework
Edge Computing Model: Keeping customer data local, integrating LLMs with customers' data plus syndicated data sources for tailored solutions.
Generative AI Integration: Incorporating generative AI into sales processes, enhancing customer interactions and sales recommendations by analyzing nuances in communication and customer sentiments. This approach aligns with current trends where generative AI is becoming an indispensable tool for sales teams, enhancing productivity and decision-making.
Journey to Value
Overcoming Challenges: Addressing the hurdles of integrating AI into sales while ensuring accuracy and consistency.
Quick Value Realization: Implementing generative AI in existing systems to enhance capabilities like email drafting, sales presentations, and customer insights.
Cost-Effective Solutions: Balancing outsourcing and internal expertise to deliver results while controlling costs. Adopting an agile, iterative approach for continuous improvement and value generation.
Path to MVP and Beyond
Current Status: Wireframe prototype ready, defined inputs/outputs, initial customer engagement.
Short-term Goals (2-4 months): Acquire the first customer, develop and deploy MVP.
One-Year Target: Go live with multiple customers, evolve features, plan for V2 (including automatic order processing), expand to larger customer segments beyond beverages.
Revenue Goal: Aim to achieve just under $1 million in the first year.
The Problem
The Problem
Market Complexity: Over 500,000 U.S. locations including stores, bars, restaurants, and retail spaces, serviced by numerous field sales reps.
Representative Challenges: Each rep often covers 80-100 accounts, facing stiff competition. BevSpark.AI employs predictive analytics and generative AI to elevate their sales strategies, ensuring optimal product placements and pricing.
Market Complexity: Over 500,000 U.S. locations including stores, bars, restaurants, and retail spaces, serviced by numerous field sales reps.
Representative Challenges: Each rep often covers 80-100 accounts, facing stiff competition. BevSpark.AI employs predictive analytics and generative AI to elevate their sales strategies, ensuring optimal product placements and pricing.
Customer Base
Customer Base
Target Audience: Focused on beverage brand owners in the BevAlc space, especially those involved in strategic selling.
Scope and Scale: The U.S. beverage business exceeds $1 trillion, with the global market over $3 trillion. BevAlc itself is a substantial part of this, valued at $350 to $400 billion in the U.S.
Target Audience: Focused on beverage brand owners in the BevAlc space, especially those involved in strategic selling.
Scope and Scale: The U.S. beverage business exceeds $1 trillion, with the global market over $3 trillion. BevAlc itself is a substantial part of this, valued at $350 to $400 billion in the U.S.
Revenue Model
Revenue
Model
Implementation Fee: Charging for integrating BevSpark.AI into the customer's environment using edge computing with local data storage.
Subscription Model: A monthly per-seat fee for ongoing access to the app and continuous feature updates.
Implementation Fee: Charging for integrating BevSpark.AI into the customer's environment using edge computing with local data storage.
Subscription Model: A monthly per-seat fee for ongoing access to the app and continuous feature updates.
Value Proposition
Value Proposition
Leveling the Playing Field: BevSpark.AI democratizes the sophisticated sales tools once exclusive to industry giants. It empowers smaller beverage players with advanced sales capabilities, akin to those used by leading companies like Coke, Pepsi, Diageo, and AB InBev.
Leveling the Playing Field: BevSpark.AI democratizes the sophisticated sales tools once exclusive to industry giants. It empowers smaller beverage players with advanced sales capabilities, akin to those used by leading companies like Coke, Pepsi, Diageo, and AB InBev.
Why BevAlc?
Why BevAlc?
Regulatory Nuances and Data Integration: The BevAlc space's regulatory complexity and unique data sources like distributor-retailer sales data (e.g., VIP) and syndicated data that the customer has a license to (e.g., Nielsen, NABCA) make BevSpark.AI's expertise particularly valuable.
Regulatory Nuances and Data Integration: The BevAlc space's regulatory complexity and unique data sources like distributor-retailer sales data (e.g., VIP) and syndicated data that the customer has a license to (e.g., Nielsen, NABCA) make BevSpark.AI's expertise particularly valuable.
Sales Strategy
Sales Strategy
Venture Funds in Large Beverage Companies: Engaging with venture arms to deploy BevSpark.AI across their portfolio brands.
Top Local and Regional Players: Targeting the top three local and regional players in every market in the BevAlc space.
Venture Funds in Large Beverage Companies: Engaging with venture arms to deploy BevSpark.AI across their portfolio brands.
Top Local and Regional Players: Targeting the top three local and regional players in every market in the BevAlc space.
Technical Framework
Technical Framework
Edge Computing Model: Keeping customer data local, integrating LLMs with customers' data plus syndicated data sources for tailored solutions.
Generative AI Integration: Incorporating generative AI into sales processes, enhancing customer interactions and sales recommendations by analyzing nuances in communication and customer sentiments. This approach aligns with current trends where generative AI is becoming an indispensable tool for sales teams, enhancing productivity and decision-making.
Edge Computing Model: Keeping customer data local, integrating LLMs with customers' data plus syndicated data sources for tailored solutions.
Generative AI Integration: Incorporating generative AI into sales processes, enhancing customer interactions and sales recommendations by analyzing nuances in communication and customer sentiments. This approach aligns with current trends where generative AI is becoming an indispensable tool for sales teams, enhancing productivity and decision-making.
Journey to Value
Journey to Value
Overcoming Challenges: Addressing the hurdles of integrating AI into sales while ensuring accuracy and consistency.
Quick Value Realization: Implementing generative AI in existing systems to enhance capabilities like email drafting, sales presentations, and customer insights.
Cost-Effective Solutions: Balancing outsourcing and internal expertise to deliver results while controlling costs. Adopting an agile, iterative approach for continuous improvement and value generation.
Overcoming Challenges: Addressing the hurdles of integrating AI into sales while ensuring accuracy and consistency.
Quick Value Realization: Implementing generative AI in existing systems to enhance capabilities like email drafting, sales presentations, and customer insights.
Cost-Effective Solutions: Balancing outsourcing and internal expertise to deliver results while controlling costs. Adopting an agile, iterative approach for continuous improvement and value generation.
Path to MVP and
Beyond
Path to MVP and
Beyond
Current Status: Wireframe prototype ready, defined inputs/outputs, initial customer engagement.
Short-term Goals (2-4 months): Acquire the first customer, develop and deploy MVP.
One-Year Target: Go live with multiple customers, evolve features, plan for V2 (including automatic order processing), expand to larger customer segments beyond beverages.
Revenue Goal: Aim to achieve just under $1 million in the first year.
Current Status: Wireframe prototype ready, defined inputs/outputs, initial customer engagement.
Short-term Goals (2-4 months): Acquire the first customer, develop and deploy MVP.
One-Year Target: Go live with multiple customers, evolve features, plan for V2 (including automatic order processing), expand to larger customer segments beyond beverages.
Revenue Goal: Aim to achieve just under $1 million in the first year.
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