HomeProjectsGenerative AI for Product Marketing & Creative Automation Case Study
Case Study 2,328 words

Generative AI for Product Marketing & Creative Automation

by Sufi Khan Sulaiman

1C Platform / Qwirey Software

Generative AI platform that transforms product marketing by producing beauty shots, promotional copy, and cinematic videos from a single prompt unifying text, image, audio, and video generation with Getty/iStock asset retrieval and personalized campaign delivery.

The primary challenge facing Qwirey Software was the inherent inefficiency and high cost associat...

In an era where digital marketing requires constant testing and iteration, the inability to rapidly generate diverse creative assets severely limited the effectiveness of their global campaigns. Producing a single comprehensive marketing package, which typically included product beauty shots, localized promotional copy, voiceovers, and cinematic teaser videos, required weeks of manual effort across multiple specialized software suites. This disjointed workflow was further complicated by the need to source, license, and integrate stock media from various external libraries, a process that was both time consuming and prone to compliance risks.

The contemporary business to business marketing environment is characterized by an insatiable demand for high quality, personalized content across an ever expanding array of digital channels. Enterprise organizations are under immense pressure to deliver relevant, engaging experiences to diverse buyer personas at every stage of the customer journey. However, the traditional model of creative production is fundamentally ill equipped to meet this demand at scale.

1

Executive Summary

The modern digital landscape demands an unprecedented volume of high quality marketing collateral, forcing enterprise organizations to rethink their creative production pipelines. This comprehensive case study examines the strategic partnership between 1C Platform and Qwirey Software, focusing on the deployment of a cutting edge Generative AI platform designed to revolutionize product marketing and creative automation. Qwirey Software faced significant bottlenecks in generating beauty shots, promotional copy, and cinematic videos at scale, which hindered their ability to launch personalized campaigns across global markets. To address this critical business challenge, 1C Platform engineered a unified generative artificial intelligence solution that seamlessly integrates text, image, audio, and video generation capabilities into a single intuitive interface. By leveraging advanced diffusion models, large language models, and robust Python based architecture, the platform allows marketing teams to produce comprehensive campaign assets from a single text prompt. A key differentiator of this solution is its native integration with the Getty Images API and iStock API, ensuring that all generated content is augmented with commercially safe, high resolution stock assets. The implementation successfully delivered a system capable of generating eight unique creative variants per prompt across four distinct modalities, drastically reducing time to market for new product launches. This transformation not only optimized resource allocation but also established a new standard for automated, personalized campaign delivery in the competitive business to business software sector. The resulting operational efficiencies have positioned Qwirey Software as an industry leader in agile marketing execution, proving the immense value of unifying disparate creative workflows under a single artificial intelligence framework.

2

The Client

Qwirey Software is a premier enterprise software provider specializing in cloud based productivity solutions for multinational corporations. With a global footprint spanning North America, Europe, and the Asia Pacific regions, the company serves a diverse clientele ranging from mid market enterprises to Fortune 500 organizations. The marketing department at Qwirey Software is responsible for driving demand generation, brand awareness, and customer retention through highly targeted, multi channel campaigns. Historically, their creative team consisted of specialized graphic designers, copywriters, video editors, and audio engineers who operated in siloed workflows. This fragmented approach to content creation required extensive coordination, resulting in prolonged production cycles and inflated operational costs. As the company expanded its product portfolio, the demand for localized, hyper personalized marketing materials outpaced the internal team capacity. Qwirey Software needed a scalable solution to produce high fidelity beauty shots of their software interfaces, compelling promotional copy for various buyer personas, and engaging cinematic videos for social media and digital advertising. The leadership team recognized that traditional agency outsourcing was not a sustainable long term strategy due to budget constraints and the need for rapid iteration. Consequently, Qwirey Software sought a technology partner capable of delivering an enterprise grade creative automation platform. They selected 1C Platform based on their proven expertise in deploying generative artificial intelligence solutions tailored for complex marketing environments. The collaboration aimed to empower the internal marketing team with advanced tools that could autonomously generate multi modal content, thereby transforming their operational model from a reactive production bottleneck into a proactive, data driven growth engine.

3

The Challenge

The primary challenge facing Qwirey Software was the inherent inefficiency and high cost associated with traditional multi modal content production. In an era where digital marketing requires constant testing and iteration, the inability to rapidly generate diverse creative assets severely limited the effectiveness of their global campaigns. Producing a single comprehensive marketing package, which typically included product beauty shots, localized promotional copy, voiceovers, and cinematic teaser videos, required weeks of manual effort across multiple specialized software suites. This disjointed workflow was further complicated by the need to source, license, and integrate stock media from various external libraries, a process that was both time consuming and prone to compliance risks. Furthermore, the marketing team struggled to maintain brand consistency across different regions and channels, as individual creators often interpreted brand guidelines subjectively. The demand for hyper personalization meant that a single product launch required dozens of asset variations tailored to specific industries, job titles, and stages of the buyer journey. Manual resizing, reformatting, and tweaking of these assets created a massive production bottleneck, preventing the team from executing agile, data driven marketing strategies. Additionally, the high cost of video production, including storyboarding, animation, and audio mixing, restricted the use of video content to only the most critical tier one campaigns, leaving a significant gap in their mid funnel and bottom of funnel engagement tactics. Qwirey Software needed a unified system that could eliminate these operational silos, automate the generation of high quality variants, and ensure strict adherence to brand standards and copyright compliance. The challenge was not merely to accelerate content creation, but to fundamentally redefine the creative workflow by leveraging artificial intelligence to handle the heavy lifting of asset generation, thereby freeing human marketers to focus on strategy, messaging, and campaign optimization. The proposed solution had to be robust enough to handle enterprise scale demands while remaining intuitive enough for non technical marketing personnel to operate efficiently.

4

The Solution

To overcome the multifaceted challenges of creative production, 1C Platform designed and deployed a bespoke Generative AI platform tailored specifically for the product marketing needs of Qwirey Software. This state of the art solution was built upon a sophisticated architecture utilizing Python, advanced diffusion models for visual generation, and state of the art large language models for text synthesis. The core innovation of the platform lies in its ability to unify text to image, text to video, and text to audio generation within a single, cohesive interface. Marketers at Qwirey Software can now input a single, comprehensive text prompt detailing the campaign objectives, target audience, and desired aesthetic. The system then processes this prompt through a proprietary orchestration layer that simultaneously triggers multiple specialized artificial intelligence models. For visual assets, the platform generates high fidelity product beauty shots and lifestyle imagery, seamlessly blending generated elements with retrieved assets via a direct integration with the Getty Images API and iStock API. This ensures that all visual content is not only visually stunning but also commercially safe and fully licensed. For written content, the large language models produce highly optimized promotional copy, including email sequences, landing page text, and social media captions, tailored to specific buyer personas. The platform also features a robust text to video engine capable of generating cinematic product teasers and explainer videos, complete with AI generated voiceovers and synchronized audio tracks. A critical component of the solution is its variant generation capability, which automatically produces eight unique options per prompt across all four modalities. This allows the marketing team to rapidly A/B test different creative directions without incurring additional production time or costs. The entire system is integrated into Qwirey Software existing campaign automation tools, enabling seamless delivery of personalized content directly to their marketing automation platforms and social media management dashboards. By centralizing the creative process and automating the most labor intensive tasks, the 1C Platform solution empowers Qwirey Software to execute complex, multi channel campaigns with unprecedented speed and agility, fundamentally transforming their approach to digital marketing and customer engagement.

5

Quantifiable Results

The implementation of the Generative AI platform by 1C Platform yielded immediate and highly measurable improvements across Qwirey Software marketing operations. By automating the generation of multi modal content, the company achieved a dramatic reduction in creative production costs, saving an estimated forty percent on external agency fees and stock licensing within the first six months of deployment. The time required to launch a comprehensive, multi channel product campaign was reduced from an average of four weeks to just under five days, representing a massive acceleration in time to market. The platform variant generation feature, which produces eight unique options per prompt, enabled the marketing team to scale their A/B testing efforts exponentially. This data driven approach to creative optimization resulted in a twenty five percent increase in overall campaign click through rates and a fifteen percent improvement in lead conversion rates for mid funnel assets. Furthermore, the integration with the Getty Images API and iStock API streamlined the asset procurement process, eliminating compliance bottlenecks and reducing the time spent searching for stock media by over seventy percent. The ability to generate cinematic videos and audio voiceovers internally allowed Qwirey Software to increase their video content output by three hundred percent, significantly boosting engagement on social media platforms and digital advertising channels. Overall, the unified artificial intelligence solution not only delivered substantial cost savings and efficiency gains but also drove measurable top line growth by enabling more agile, personalized, and effective marketing campaigns across all global markets.

Quantifiable Results

Creative Production Cost ReductionCampaign Time to MarketUnique Variants per PromptIncrease in Video Content OutputImprovement in Lead Conversion075150225300
6

The Problem Statement

The contemporary business to business marketing environment is characterized by an insatiable demand for high quality, personalized content across an ever expanding array of digital channels. Enterprise organizations are under immense pressure to deliver relevant, engaging experiences to diverse buyer personas at every stage of the customer journey. However, the traditional model of creative production is fundamentally ill equipped to meet this demand at scale. Marketing departments are frequently constrained by siloed workflows, where copywriters, designers, and video producers operate in isolation, leading to misaligned messaging and prolonged production cycles. The manual creation of multi modal assets, including text, images, audio, and video, is inherently labor intensive and cost prohibitive, particularly when localized versions and personalized variants are required for global campaigns. This production bottleneck forces marketing teams to compromise on either the quality or the quantity of their output, ultimately diminishing the impact of their demand generation efforts. Furthermore, the reliance on disparate software tools and external stock media libraries introduces significant friction into the creative process, increasing the risk of brand inconsistency and copyright infringement. As buyer expectations continue to evolve, the inability to rapidly test, iterate, and optimize creative assets based on real time performance data represents a critical competitive disadvantage. The industry requires a paradigm shift in how marketing collateral is conceptualized and produced. Organizations need intelligent, automated systems capable of synthesizing complex campaign requirements into cohesive, multi channel assets instantaneously. Without such technological intervention, enterprise marketing teams will remain trapped in a cycle of reactive execution, unable to fully leverage the strategic potential of personalized, data driven customer engagement.

7

Methodology & Research

The development and deployment of the Generative AI platform for Qwirey Software was grounded in extensive industry research and a rigorous methodological framework. The project team at 1C Platform began by analyzing the current state of artificial intelligence in marketing, drawing insights from leading authoritative sources. According to recent industry analysis, generative artificial intelligence can automate repetitive tasks such as writing product descriptions or summarizing customer feedback, freeing up human resources for higher level strategic initiatives [Generative AI in Marketing](https://www.ibm.com/think/topics/generative-ai-marketing). This principle formed the foundation of the platform design, ensuring that the technology served to augment rather than replace the human creative process. Further research highlighted the importance of multi modal capabilities in modern marketing campaigns. Tools that can produce text, images, audio, and videos are becoming essential for maintaining a competitive edge, as they allow for the rapid creation of personalized ad copy and automated customer service responses [Generative AI for Marketing: Tools, Examples, and Case Studies | M1-Project](https://www.m1-project.com/blog/generative-ai-for-marketing-tools-examples-and-case-studies). To address the specific challenges of enterprise scale visual production, the team examined case studies of generative creative infrastructure that programmatically scales, resizes, and alters creative asset background variations based on live campaign performance parameters [AI Marketing Case Studies: B2B Campaigns & Proven Lessons](https://www.factors.ai/blog/ai-marketing-case-studies-b2b-examples). This informed the development of the platform variant generation engine, which produces eight unique options per prompt. Additionally, the integration of commercially safe stock assets was prioritized based on the need for copyright compliance in enterprise environments, leading to the seamless incorporation of the Getty Images API and iStock API. The methodology also involved iterative testing and fine tuning of the diffusion models and large language models using Qwirey Software historical campaign data, ensuring that the generated content aligned perfectly with their established brand voice and visual identity. This comprehensive, research backed approach guaranteed that the final solution was not only technologically advanced but also deeply aligned with the practical realities of enterprise business to business marketing.

8

The Approach

The approach taken by 1C Platform to implement the Generative AI solution for Qwirey Software was highly structured, phased, and collaborative, ensuring maximum adoption and minimal disruption to ongoing marketing activities. The engagement commenced with a comprehensive discovery phase, during which the engineering and strategy teams conducted deep dive workshops with Qwirey Software marketing stakeholders. This phase was critical for mapping out existing creative workflows, identifying specific production bottlenecks, and defining the exact technical requirements for the new platform. Following discovery, the data ingestion and model training phase began. 1C Platform utilized Python based data pipelines to securely ingest thousands of historical marketing assets, brand guidelines, and performance metrics from Qwirey Software archives. This proprietary dataset was used to fine tune the underlying large language models and diffusion models, ensuring that the artificial intelligence deeply understood the client specific tone of voice, visual aesthetic, and industry terminology. Concurrently, the development team engineered the core orchestration layer, building the complex logic required to translate a single user prompt into synchronized text, image, video, and audio outputs. A major technical milestone was the seamless integration of the Getty Images API and iStock API, which required robust authentication protocols and intelligent search algorithms to automatically retrieve and blend highly relevant, commercially safe stock assets into the generated visuals. Once the core architecture was stabilized, the team focused on user interface design, creating an intuitive, web based dashboard that abstracted the underlying technical complexity, allowing non technical marketers to operate the system with ease. The final phase involved rigorous user acceptance testing, comprehensive training sessions, and the establishment of automated feedback loops. These loops allowed the platform to continuously learn and improve based on which generated variants were selected and deployed by the marketing team. This holistic, end to end approach ensured that the Generative AI platform was not merely a technological novelty, but a deeply integrated, mission critical component of Qwirey Software global marketing infrastructure.

Capability Coverage

Multi Modal GenerationAPI Integration EfficiencyBrand ConsistencyWorkflow AutomationVariant Scalability0255075100

Image + Video + Copy + Audio

Modalities

8 unique options per prompt

Variants

Getty Images + iStock API

Stock Integration

1C Platform / Qwirey Software

Company

Generative AIDiffusion ModelsLLMsText-to-ImageText-to-VideoPythonGetty Images APICampaign Automation

Project Overview

Built a Generative AI solution that transforms product marketing by producing beauty shots, promotional copy, and immersive videos from a single prompt. Instead of designers spending hours searching through endless stock libraries, they can simply prompt the system and instantly receive eight unique creative options. Once a preferred style is selected, the platform automatically retrieves visually similar stock assets from Getty Images and iStock, ensuring campaigns are both original and backed by high-quality licensed content.

By unifying text, image, audio, and video generation, the system delivers polished lifestyle imagery, cinematic marketing clips, and persuasive messaging tailored to brand identity all while reducing production timelines and costs. A product description can become a sleek visual ad, a multilingual video spot, or a series of social media assets optimized for engagement.

By analyzing customer intent and history, the system recommends premium bundles, highlights unique features, and generates personalized offers turning generative content into both storytelling and sales. Together, these capabilities streamline creative workflows, elevate brand presence, and convert everyday marketing into immersive, revenue-driving experiences.

Generative AI Marketing Platform

Prompt & Intent Layer

Prompt Engineering EngineBrand Voice ConfigurationStyle & Tone ParametersCustomer Intent Analysis

Multi-Modal Generation

Text-to-Image (Diffusion Models)Text-to-Video GenerationCopywriting LLMAudio / Voiceover Synthesis

Creative Variants

8 Unique Option GenerationStyle Comparison ViewBrand Consistency ScoringFormat Optimization (Social/Web/Print)

Stock Asset Retrieval

Getty Images API IntegrationiStock Visual Similarity SearchLicensed Asset CurationRights Management Layer

Personalization & Delivery

Customer History AnalysisPremium Bundle RecommendationsMultilingual Campaign VariantsChannel-optimized Export

Creative Generation Flow

1

Marketer Prompt

Product + tone + style input

2

Multi-Modal Generation

8 image + copy + video variants

3

Brand Consistency Check

Voice + visual alignment scored

4

Style Selection

Preferred variant chosen

5

Stock Asset Retrieval

Getty / iStock similarity search

6

Campaign Assembly

Assets + copy + video packaged

7

Personalization Layer

Customer intent + history applied

8

Multi-Channel Export

Social / web / video / print formats

9

Performance Tracking

Engagement + conversion measured

UX & Product Highlights

Creative Studio Interface

Single-prompt creative canvas that generates 8 simultaneous image, copy, and video variants for instant comparison.

Stock Asset Matcher

Side-by-side view of AI-generated assets alongside retrieved Getty / iStock matches with licensing status.

Brand Voice Monitor

Automated brand consistency scoring across all generated assets with flagging for tone or visual deviations.

Campaign Performance Dashboard

Engagement, click-through, and conversion metrics per creative variant with AI-recommended optimizations.

Explore More Projects

This is the complete portfolio of Sufi Khan Sulaiman, a technology leader specialising in B2B commerce and digital automation. Start from the Home page for the overview, then move through two decades of career experience across FLIR Systems, Lorex Technology, and 1c Platform, and the full catalogue of project case studies spanning headless commerce migrations, AI recommendation engines, and multi-channel fulfilment systems.

The skills and certifications page maps the technical and leadership capabilities behind the work, while the articles and the knowledge base break down the thinking into actionable frameworks. For hands-on learning, the tutorials and applications sections cover practical builds from front-end fundamentals to full-stack web apps.

For consulting engagement, the expertise page outlines service offerings, the ecommerce hub covers platform architecture and automation strategy, and the ecommerce guide (PDF) is a downloadable 55-page field manual. When you are ready to talk, the contact page is the direct line.