eCommerce
eCommerce
eCommerce
Bulgaria
Bulgaria
Bulgaria
nFuse
nFuse
nFuse
An AI-powered virtual sales agent for the FMCG industry.
An AI-powered virtual sales agent for the FMCG industry.
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Year founded
2024
Total funding
Private
Latest funding round
Seed
Investors
Private
01. Overview
01. Overview
01. Overview
nFuse is an AI-powered virtual sales agent designed for FMCG brands and distributors. Acting as a 24/7 digital business developer, it takes orders, provides personalized recommendations, aligns with business strategy, and drives measurable revenue growth. Major brands already trust nFuse to speed up sales cycles, reduce costs, and deliver better buying experiences for their customers.
nFuse is an AI-powered virtual sales agent designed for FMCG brands and distributors. Acting as a 24/7 digital business developer, it takes orders, provides personalized recommendations, aligns with business strategy, and drives measurable revenue growth. Major brands already trust nFuse to speed up sales cycles, reduce costs, and deliver better buying experiences for their customers.
nFuse is an AI-powered virtual sales agent designed for FMCG brands and distributors. Acting as a 24/7 digital business developer, it takes orders, provides personalized recommendations, aligns with business strategy, and drives measurable revenue growth. Major brands already trust nFuse to speed up sales cycles, reduce costs, and deliver better buying experiences for their customers.
Services utilized
Product management UX/UI design AI development Web development QA
Product management UX/UI design AI development Web development QA
Product management UX/UI design AI development Web development QA
Tech stack
Figma Next.js FastAPI (Python) LangGraph Supabase (Postgres)
Figma Next.js FastAPI (Python) LangGraph Supabase (Postgres)
Figma Next.js FastAPI (Python) LangGraph Supabase (Postgres)
Type
Web App AI Agent
Web App AI Agent
Web App AI Agent
02. The challenge
02. The challenge
02. The challenge
In the FMCG sector, sales teams face constant pressure to handle large order volumes while staying aligned with sales strategies and delivering personalized customer experiences. Manual order processing creates bottlenecks, restricts availability to business hours, and limits scalability without adding more headcount. As a result, companies struggled to balance efficiency, personalization, and cost control.
In the FMCG sector, sales teams face constant pressure to handle large order volumes while staying aligned with sales strategies and delivering personalized customer experiences. Manual order processing creates bottlenecks, restricts availability to business hours, and limits scalability without adding more headcount. As a result, companies struggled to balance efficiency, personalization, and cost control.
In the FMCG sector, sales teams face constant pressure to handle large order volumes while staying aligned with sales strategies and delivering personalized customer experiences. Manual order processing creates bottlenecks, restricts availability to business hours, and limits scalability without adding more headcount. As a result, companies struggled to balance efficiency, personalization, and cost control.
03. Impact of the problem
03. Impact of the problem
03. Impact of the problem
Without a smarter system, FMCG businesses risked slower order cycles, higher operational costs, and weaker customer relationships. Teams spent valuable time on repetitive tasks that could not scale, while customers received delayed responses and limited engagement, undermining both sales growth and brand loyalty.
Without a smarter system, FMCG businesses risked slower order cycles, higher operational costs, and weaker customer relationships. Teams spent valuable time on repetitive tasks that could not scale, while customers received delayed responses and limited engagement, undermining both sales growth and brand loyalty.
Without a smarter system, FMCG businesses risked slower order cycles, higher operational costs, and weaker customer relationships. Teams spent valuable time on repetitive tasks that could not scale, while customers received delayed responses and limited engagement, undermining both sales growth and brand loyalty.
04. Our approach
04. Our approach
04. Our approach
Appolica collaborated with nFuse to design and deliver an AI-driven platform that could automate and personalize the entire B2B ordering process. The process began with mapping the workflows of FMCG sales teams and identifying where manual interventions slowed things down. By focusing on automation and conversational UX, the goal was to free sales reps from repetitive tasks and allow the system to run continuously without human intervention. Through iterative design and testing, the platform was developed to integrate with familiar communication channels. This ensured that every customer interaction felt natural and personalized, while behind the scenes, AI handled the complexity of order processing, recommendations, and performance tracking at scale.
Appolica collaborated with nFuse to design and deliver an AI-driven platform that could automate and personalize the entire B2B ordering process. The process began with mapping the workflows of FMCG sales teams and identifying where manual interventions slowed things down. By focusing on automation and conversational UX, the goal was to free sales reps from repetitive tasks and allow the system to run continuously without human intervention. Through iterative design and testing, the platform was developed to integrate with familiar communication channels. This ensured that every customer interaction felt natural and personalized, while behind the scenes, AI handled the complexity of order processing, recommendations, and performance tracking at scale.
Appolica collaborated with nFuse to design and deliver an AI-driven platform that could automate and personalize the entire B2B ordering process. The process began with mapping the workflows of FMCG sales teams and identifying where manual interventions slowed things down. By focusing on automation and conversational UX, the goal was to free sales reps from repetitive tasks and allow the system to run continuously without human intervention. Through iterative design and testing, the platform was developed to integrate with familiar communication channels. This ensured that every customer interaction felt natural and personalized, while behind the scenes, AI handled the complexity of order processing, recommendations, and performance tracking at scale.
05. The solution
05. The solution
05. The solution
The nFuse platform automates the B2B ordering process end-to-end, engaging customers through channels like WhatsApp, Viber, Messenger, Telegram, and email. It accepts orders around the clock without human input, provides personalized recommendations aligned with sales strategy, and offers real-time performance tracking for data-driven decision-making.
The nFuse platform automates the B2B ordering process end-to-end, engaging customers through channels like WhatsApp, Viber, Messenger, Telegram, and email. It accepts orders around the clock without human input, provides personalized recommendations aligned with sales strategy, and offers real-time performance tracking for data-driven decision-making.
The nFuse platform automates the B2B ordering process end-to-end, engaging customers through channels like WhatsApp, Viber, Messenger, Telegram, and email. It accepts orders around the clock without human input, provides personalized recommendations aligned with sales strategy, and offers real-time performance tracking for data-driven decision-making.
06. The outcome
06. The outcome
06. The outcome
The AI-powered sales agent replaced manual processes with scalable automation, improving efficiency and revenue across FMCG sales.
The AI-powered sales agent replaced manual processes with scalable automation, improving efficiency and revenue across FMCG sales.
The AI-powered sales agent replaced manual processes with scalable automation, improving efficiency and revenue across FMCG sales.
10x
10x
10x
Orders processed up to ten times quicker than traditional methods.
Orders processed up to ten times quicker than traditional methods.
Orders processed up to ten times quicker than traditional methods.
15%
15%
15%
Average basket size grew as personalized recommendations encouraged upsells.
Average basket size grew as personalized recommendations encouraged upsells.
Average basket size grew as personalized recommendations encouraged upsells.
30%
30%
30%
Sales teams cut repetitive tasks by 30%, freeing up time for higher-value activities.
Sales teams cut repetitive tasks by 30%, freeing up time for higher-value activities.
Sales teams cut repetitive tasks by 30%, freeing up time for higher-value activities.
