Vxceed builds the right gross sales pitch for gross sales groups at scale utilizing Amazon Bedrock

This publish was co-written with Cyril Ovely from Vxceed.

Shopper packaged items (CPG) corporations face a crucial problem in rising economies: the best way to successfully retain income and develop buyer loyalty at scale. Though these corporations make investments 15–20% of their income in commerce promotions and retailer loyalty applications, the uptake of those applications has traditionally remained under 30% on account of their complexity and the problem of addressing particular person retailer wants.

Vxceed’s Lighthouse platform tackles this problem with its modern loyalty module. Trusted by main world CPG manufacturers throughout rising economies in Southeast Asia, Africa, and the Center East, Lighthouse offers discipline gross sales groups with a cutting-edge, AI-driven toolkit. This resolution makes use of generative AI to create personalised gross sales pitches primarily based on particular person retailer knowledge and developments, serving to discipline representatives successfully interact retailers, deal with widespread objections, and increase program adoption.

On this publish, we present how Vxceed used Amazon Bedrock to develop this AI-powered multi-agent resolution that generates personalised gross sales pitches for discipline gross sales groups at scale.

The problem: Fixing a income retention drawback for manufacturers

Vxceed operates principally within the rising economies. The CPG trade is dealing with challenges resembling fixed change, excessive buyer expectations, and low obstacles to entry. These challenges are extra pronounced within the rising economies. To fight these challenges, CPG corporations worldwide make investments 15–20% of their income yearly in commerce promotions, typically within the format of loyalty applications to retailers.

The uptake of those loyalty applications, nonetheless, has historically been decrease than 30% on account of their complexity and the necessity to deal with every particular person outlet’s wants. To make this problem extra complicated, in rising economies, these loyalty applications are primarily bought via the sector gross sales crew, who additionally act within the function of order seize and fulfilment, and the dimensions of their operation typically spans throughout thousands and thousands of retailers. To uplift the loyalty applications uptake, which in flip uplifts the manufacturers income retention, the loyalty applications wanted to be tailor-made at a customized stage and pitched correctly to every outlet.

Vxceed wanted an answer to unravel this drawback at scale, creating distinctive, personalised loyalty program promoting tales tailor-made for every particular person outlet that the sector gross sales crew can use to promote the applications.

This problem led Vxceed to make use of Amazon Bedrock, a completely managed service that gives a alternative of high-performing basis fashions (FMs) from main AI corporations via a single API.

Resolution overview

To handle the challenges of personalization, scale, and placing the answer within the fingers of tens of 1000’s of discipline gross sales groups, Vxceed developed Lighthouse Loyalty Promoting Story, an AI-powered resolution. The Lighthouse Loyalty Promoting Story structure makes use of Amazon Bedrock, Amazon API Gateway, Amazon DynamoDB, and AWS Lambda to create a safe, scalable, AI-powered promoting story era system. The answer implements a multi-agent structure, proven within the following determine, the place every element operates throughout the buyer’s personal AWS atmosphere, sustaining knowledge safety, scalability, and intuitive consumer interactions.

The answer structure is constructed round a number of key parts that work collectively to offer a curated gross sales enablement expertise that’s distinctive for every retailer buyer:

• Salesperson app – A cellular software is utilized by discipline gross sales groups to entry compelling program gross sales pitches and work together with the system via a chat interface. This serves as the first touchpoint for gross sales representatives.
• API Gateway and safety – The answer makes use of the next safety providers:
• Clever brokers – The answer makes use of the next Lambda primarily based brokers:
  • Orchestration Agent coordinates the general stream and interplay between parts.
  • Story Framework Agent establishes the narrative construction.
  • Story Generator Agent creates personalised content material.
  • Story Overview Agent maintains high quality and compliance with model tips.
  • Model Tips Agent maintains model consistency.
  • Enterprise Guidelines Agent enforces enterprise logic and constraints.
• Knowledge providers layer – The info providers layer consists of the next parts:
  • Knowledge API providers present entry to crucial enterprise data, together with:
    • Outlet profile knowledge
    • Loyalty program particulars
    • Historic knowledge
    • Buy profile data
  • Integration with Lighthouse synthetic intelligence and machine studying (AI/ML) fashions and knowledge lake for superior analytics.
  • Amazon Bedrock Knowledge Bases for enhanced context and knowledge.
• Superior capabilities – The answer gives the next further capabilities:
  • Q&A Service allows pure language interactions for gross sales queries.
  • CTA (Name-to-Motion) Service streamlines the retail outlet signup course of.
  • An Amazon Bedrock giant language mannequin (LLM) powers clever responses.
  • Amazon Bedrock Guardrails facilitates acceptable and compliance-aligned interactions.

The structure implements a safe, scalable, and serverless design that makes use of AWS managed providers to ship a complicated gross sales enablement resolution.

Multi-agent AI structure for safe orchestration

Vxceed constructed a multi-agent AI system on Lambda to handle personalised gross sales storytelling. The structure contains specialised brokers that work collectively to create, validate, and ship compelling gross sales pitches whereas sustaining alignment with enterprise guidelines and model tips.

The next is an in depth breakdown of the multi-agent AI structure:

• Orchestration Agent – Coordinates the workflow between brokers and manages the general story creation course of, interfacing with the Amazon Bedrock LLM for clever processing.
• Story Framework Agent – Establishes the narrative construction and stream of gross sales pitches primarily based on confirmed storytelling patterns and gross sales methodologies.
• Story Generator Agent – Creates personalised content material by combining knowledge from a number of sources, together with outlet profiles, loyalty program particulars, and historic knowledge.
• Story Overview Agent – Validates generated content material for accuracy, completeness, and effectiveness earlier than supply to gross sales personnel.
• Model Tips Agent – Makes certain generated content material adheres to model voice, tone, and visible requirements.
• Enterprise Guidelines Agent – Enforces enterprise logic, buyer model compliance necessities, and operational constraints throughout generated content material.

Every agent is applied as a serverless Lambda perform, enabling scalable and cost-effective processing whereas sustaining strict safety controls via integration with AWS KMS and Secrets and techniques Supervisor. The brokers work together with the Amazon Bedrock LLM and guardrails to offer acceptable and accountable AI-generated content material.

Guardrails

Lighthouse makes use of Amazon Bedrock Guardrails to take care of skilled, targeted interactions. The system makes use of denied matters and phrase filters to assist forestall unrelated discussions and unprofessional language, ensuring conversations stay centered on buyer wants. These guardrails display out inappropriate content material, set up clear boundaries round delicate matters, and diplomatically deal with aggressive inquiries whereas staying aligned with organizational values.

Why Vxceed selected Amazon Bedrock

Vxceed chosen Amazon Bedrock over different AI options due to 4 key benefits:

• Enterprise-grade safety and privateness – With Amazon Bedrock, you may configure your AI workloads and knowledge so your data stays securely inside your personal digital personal cloud (VPC). This method maintains a non-public, encrypted atmosphere for AI operations, serving to maintain knowledge protected and remoted throughout the your VPC. For extra particulars, seek advice from Safety in Amazon Bedrock.
• Managed providers on AWS – Lighthouse Loyalty Promoting Story runs on Vxceed’s current AWS infrastructure, minimizing integration effort and offering end-to-end management over knowledge and operations utilizing managed providers resembling Amazon Bedrock.
• Entry to a number of AI fashions – Amazon Bedrock helps numerous FMs, so Vxceed can experiment and optimize efficiency throughout completely different use circumstances. Vxceed makes use of Anthropic’s Claude 3.5 Sonnet for its potential to deal with subtle conversational interactions and complicated language processing duties.
• Sturdy AI improvement instruments – Vxceed accelerated improvement by utilizing Amazon Bedrock Information Bases, immediate engineering libraries, and agent frameworks for environment friendly AI orchestration.

Enterprise influence and future outlook

The implementation delivered vital measurable enhancements throughout three key areas.

Enhanced customer support

The answer achieved a 95% response accuracy price whereas automating 90% of loyalty program-related queries. This automation facilitates constant, correct responses to buyer objections and queries, serving to salespeople and considerably enhancing the retailer expertise.

Accelerated income progress

Early buyer suggestions and trade evaluation point out program enrollment elevated by 5–15%. This progress demonstrates how eradicating friction from the enrollment course of instantly impacts enterprise outcomes.

Improved operational effectivity

The answer delivered substantial operational advantages:

• 20% discount in enrolment processing time
• 10% lower in assist time necessities
• Annual financial savings of two person-months per geographical area in administrative overhead

These effectivity positive factors assist Vxceed clients give attention to higher-value actions whereas decreasing operational prices. The mixture of quicker processing and diminished assist necessities creates a scalable basis for program progress.

Conclusion

AWS partnered with Vxceed to assist their AI technique, ensuing within the improvement of Lighthouse Loyalty Promoting Story, an modern personalised gross sales pitch resolution. Utilizing AWS providers together with Amazon Bedrock and Lambda, Vxceed efficiently constructed a safe, AI-powered resolution that creates personalised promoting tales at scale for CPG trade discipline gross sales groups. Trying forward, Vxceed plans to additional refine Lighthouse Loyalty Promoting Story by:

• Optimizing AI inference prices to enhance scalability and cost-effectiveness
• Including a Language Agent to current the generated promoting story within the native language of alternative
• Including RAG and GraphRAG to additional improve the story era effectiveness

With this collaboration, Vxceed goals to considerably enhance CPG trade discipline gross sales administration, delivering safe, environment friendly, and AI-powered options for CPG corporations and types.

If you’re eager about implementing an analogous AI-powered resolution, begin by understanding the best way to implement asynchronous AI brokers utilizing Amazon Bedrock. See Creating asynchronous AI agents with Amazon Bedrock to study in regards to the implementation patterns for multi-agent techniques and develop safe, AI-powered options to your group.

In regards to the Authors

	Roger Wang is a Senior Resolution Architect at AWS. He’s a seasoned architect with over 20 years of expertise within the software program trade. He helps New Zealand and world software program and SaaS corporations use cutting-edge know-how at AWS to unravel complicated enterprise challenges. Roger is obsessed with bridging the hole between enterprise drivers and technological capabilities, and thrives on facilitating conversations that drive impactful outcomes.
	Deepika Kumar is a Options Architect at AWS. She has over 13 years of expertise within the know-how trade and has helped enterprises and SaaS organizations construct and securely deploy their workloads on the cloud. She is obsessed with utilizing generative AI in a accountable method, whether or not that’s driving product innovation, boosting productiveness, or enhancing buyer experiences.
	Jhalak Modi is a Resolution Architect at AWS, specializing in cloud structure, safety, and AI-driven options. She helps companies use AWS to construct safe, scalable, and modern options. Captivated with rising applied sciences, Jhalak actively shares her experience in cloud computing, automation, and accountable AI adoption, empowering organizations to speed up digital transformation and keep forward in a quickly evolving tech panorama.
	Cyril Ovely, CTO and co-founder of Vxceed Software program Options, leads the corporate’s SaaS-based logistics options for CPG manufacturers. With 33 years of expertise, together with 22 years at Vxceed, he beforehand labored in analytical and course of management instrumentation. An engineer by coaching, Cyril architects Vxceed’s SaaS choices and drives innovation from his base in Auckland, New Zealand.