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

This put up was co-written with Cyril Ovely from Vxceed.

Client packaged items (CPG) firms face a important problem in rising economies: methods to successfully retain income and develop buyer loyalty at scale. Though these firms make investments 15–20% of their income in commerce promotions and retailer loyalty packages, the uptake of those packages has traditionally remained under 30% as a result of their complexity and the problem of addressing particular person retailer wants.

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

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

The problem: Fixing a income retention downside for manufacturers

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

The uptake of those loyalty packages, nonetheless, has historically been decrease than 30% as a result of their complexity and the necessity to handle every particular person outlet’s wants. To make this problem extra advanced, in rising economies, these loyalty packages are primarily offered by way of the sphere gross sales group, who additionally act within the position of order seize and fulfilment, and the size of their operation usually spans throughout hundreds of thousands of retailers. To uplift the loyalty packages uptake, which in flip uplifts the manufacturers income retention, the loyalty packages wanted to be tailor-made at a customized stage and pitched correctly to every outlet.

Vxceed wanted an answer to unravel this downside at scale, creating distinctive, customized loyalty program promoting tales tailor-made for every particular person outlet that the sphere gross sales group can use to promote the packages.

This problem led Vxceed to make use of Amazon Bedrock, a completely managed service that provides a selection of high-performing basis fashions (FMs) from main AI firms by way of a single API.

Resolution overview

To deal with the challenges of personalization, scale, and placing the answer within the arms of tens of hundreds of area 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 part operates inside the buyer’s non-public AWS setting, sustaining knowledge safety, scalability, and intuitive consumer interactions.

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

• Salesperson app – A cellular software is utilized by area gross sales groups to entry compelling program gross sales pitches and work together with the system by way of 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 companies:
• Clever brokers – The answer makes use of the next Lambda primarily based brokers:
  • Orchestration Agent coordinates the general circulation and interplay between elements.
  • Story Framework Agent establishes the narrative construction.
  • Story Generator Agent creates customized content material.
  • Story Evaluation Agent maintains high quality and compliance with model pointers.
  • Model Pointers Agent maintains model consistency.
  • Enterprise Guidelines Agent enforces enterprise logic and constraints.
• Knowledge companies layer – The info companies layer consists of the next elements:
  • Knowledge API companies present entry to important 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 Data Bases for enhanced context and data.
• Superior capabilities – The answer presents the next extra capabilities:
  • Q&A Service permits pure language interactions for gross sales queries.
  • CTA (Name-to-Motion) Service streamlines the retail outlet signup course of.
  • An Amazon Bedrock massive language mannequin (LLM) powers clever responses.
  • Amazon Bedrock Guardrails facilitates applicable and compliance-aligned interactions.

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

Multi-agent AI structure for safe orchestration

Vxceed constructed a multi-agent AI system on Lambda to handle customized 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 pointers.

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 circulation of gross sales pitches primarily based on confirmed storytelling patterns and gross sales methodologies.
• Story Generator Agent – Creates customized content material by combining knowledge from a number of sources, together with outlet profiles, loyalty program particulars, and historic knowledge.
• Story Evaluation Agent – Validates generated content material for accuracy, completeness, and effectiveness earlier than supply to gross sales personnel.
• Model Pointers 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 carried out as a serverless Lambda operate, enabling scalable and cost-effective processing whereas sustaining strict safety controls by way of integration with AWS KMS and Secrets and techniques Supervisor. The brokers work together with the Amazon Bedrock LLM and guardrails to supply applicable and accountable AI-generated content material.

Guardrails

Lighthouse makes use of Amazon Bedrock Guardrails to keep up 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 handle 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 non-public cloud (VPC). This method maintains a non-public, encrypted setting for AI operations, serving to hold knowledge protected and remoted inside the your VPC. For extra particulars, discuss with Safety in Amazon Bedrock.
• Managed companies on AWS – Lighthouse Loyalty Promoting Story runs on Vxceed’s present AWS infrastructure, minimizing integration effort and offering end-to-end management over knowledge and operations utilizing managed companies resembling Amazon Bedrock.
• Entry to a number of AI fashions – Amazon Bedrock helps varied FMs, so Vxceed can experiment and optimize efficiency throughout totally different use circumstances. Vxceed makes use of Anthropic’s Claude 3.5 Sonnet for its capability to deal with refined conversational interactions and complicated language processing duties.
• Sturdy AI improvement instruments – Vxceed accelerated improvement by utilizing Amazon Bedrock Data Bases, immediate engineering libraries, and agent frameworks for environment friendly AI orchestration.

Enterprise influence and future outlook

The implementation delivered important measurable enhancements throughout three key areas.

Enhanced customer support

The answer achieved a 95% response accuracy charge whereas automating 90% of loyalty program-related queries. This automation facilitates constant, correct responses to buyer objections and queries, serving to salespeople and considerably bettering 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 straight impacts enterprise outcomes.

Improved operational effectivity

The answer delivered substantial operational advantages:

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

These effectivity features assist Vxceed clients give attention to higher-value actions whereas lowering operational prices. The mix of sooner processing and lowered help necessities creates a scalable basis for program progress.

Conclusion

AWS partnered with Vxceed to help their AI technique, ensuing within the improvement of Lighthouse Loyalty Promoting Story, an progressive customized gross sales pitch resolution. Utilizing AWS companies together with Amazon Bedrock and Lambda, Vxceed efficiently constructed a safe, AI-powered resolution that creates customized promoting tales at scale for CPG trade area 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 selection
• Including RAG and GraphRAG to additional improve the story era effectiveness

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

In case you are considering implementing an identical AI-powered resolution, begin by understanding methods to implement asynchronous AI brokers utilizing Amazon Bedrock. See Creating asynchronous AI brokers with Amazon Bedrock to study concerning the implementation patterns for multi-agent techniques and develop safe, AI-powered options to your group.

Concerning 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 international software program and SaaS firms use cutting-edge expertise at AWS to unravel advanced enterprise challenges. Roger is captivated 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 expertise trade and has helped enterprises and SaaS organizations construct and securely deploy their workloads on the cloud. She is captivated 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 progressive 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.