Scaling AI Sales Agents Across eCommerce Client Portfolio

Year

2024

Role

Multi-Tenant Platform Architecture & Deployment

Where We Started

Overview

The agency manages e-commerce results for several client brands and needed a way to boost conversions across all of them without rebuilding each storefront individually.

Problem statement

Visitors were coming to client stores, but many were not making purchases as often as clients would have liked. Fixing this for each store individually was not something the agency could handle on its own.

The Challenge

Each client storefront used a different platform and catalog and served unique customers. The AI sales agent needed to be flexible enough to work across all these stores without needing a custom build every time.

Opportunities

Since the agency serves many clients, a successful AI sales agent could help more than just one store. It would give the agency a tool they could use for all their clients.

Our Responsibilities

We designed an AI sales agent model that works for multiple storefronts.
Configured the agent to adapt to each client's catalog and brand voice
Supported the agency's team through rollout across client accounts

Desired Outcomes

A repeatable AI sales agent setup that the agency could use for all its clients.
Higher conversion rates from visitors already coming to client storefronts.
Less manual work for the agency's team to improve conversions.
A scalable model that the agency can use for new clients as they grow.

The Vision

Cypherox designed the AI sales agent so it could be set up differently for each storefront. This way, the agency's team could adjust the tone, product suggestions, and triggers for each client brand without having to build a new system every time.

The agent interacts with hesitant visitors in real time, adjusts its recommendations based on each client's catalog, and sends performance reports to the agency's team for each account.

Tech Stack and Implementation

Cypherox built a shared AI sales agent core with a configuration layer on top, so brand voice, catalog data, and storefront-specific rules could be set per client without duplicating the underlying system. The agent connects to each client's existing e-commerce platform via standard storefront APIs, ensuring consistent rollout across the portfolio's platforms.

Results and Business Impact

Now, the agency can offer a single repeatable AI Sales Agent setup for all client storefronts, rather than building a custom solution for each new client.
Hesitant traffic across the portfolio gets a consistent layer of real-time engagement, reducing the amount of manual conversion work that falls to the agency's team.
Britney, the client's head of conversion optimization, described the relationship directly: "They are fast, hardworking, and really diligent developers," a partnership that has run "over two going on three years."

By using a single AI sales agent model for all its clients, rather than building a separate one for each, the agency gained a conversion tool they can scale across their entire business.

Client name: Britney

"Working with Cypherox for over two years, they've built us a repeatable AI sales agent deployment we can roll out across our entire client portfolio. What's impressive is how they configured it to adapt to each client's catalog and brand voice without a custom build each time. Fast, diligent, and genuinely scalable.”

Digital Agency Case Study: Scaling an AI Sales Agent Across a Multi-Client E-commerce Portfolio