Drive retail success
with
your cloud projects
- Secure, flexible and cost-effective AI solutions by leveraging the latest AWS services
Explore retail specific content including case studies & insights.
AWS Retail competency partner
Unlock retail success with Firemind & AWS
Whether you’re looking to modernise your cloud operations, or build new scalable, resilient and cost effective infrastructures, Firemind is the partner for you. Our years of experience working with AWS and the retail sector has given us in-depth knowledge and experience in deploying future proof cloud solutions.
Featured case study
Benefits
Understanding the retail landscape
The industry is undergoing a significant transformation with the integration of AI. It is changing how retailers operate, enabling scalability, agility, and cost-efficiency.
Customer personalisation
Over 84% of all shoppers value personalisation options within e-commerce, maintaining their loyalty for repeat business.
venturebeat.com
Smart retail
E-commerce & marketplaces
Omnichannel retailing
Retail use cases by solution
Introduce AI to your business
Unlock the transformative power of AI/ML in retail with Firemind’s cloud solutions. Drive revenue growth, enhance customer experiences, and optimise operations. Leverage AI algorithms and machine learning in the cloud to gain insights, predict trends, and deliver personalised recommendations. Stay ahead, exceed expectations, and achieve success with scalable, cost-effective, and agile cloud solutions.
01
Customer engagement
ChatBots – Use more natural conversation to communicate with customer service of voice commerce.
Automatic translation – Translate copy to reach a larger audience via multiple languages.
02
Merchandising & planning
03
Digital commerce
Product recommendations – Use natural language to narrow products down to what the customer is specifically looking for.
Content creation – General SEO-optimised copy for landing pages, blogs, social media posts and images.
04
Smart stores
Employee experience – Provide training tasks and information to associates using natural language.
05
IT & core applications
Faster software development – Using tools to generate code, find bugs, and test software. Increase engineering productivity.
06
Advanced data insights
Data analysis & insights – Consume large amounts of data like sales returns or product reviews to summarise trends.
07
Intelligent supply chain
Tracking of vessels through scraping public vessel/freight locations and associate it with ordered freight to gain real time visibility of goods.
Implement AI into your retail workflow
Explore & define
AI roadmap: Exploration, applications & goal setting
We’ll explore AI’s applications and benefits through research, workshops, and team engagement. This will identify how AI can enhance customer experience, inventory management, demand forecasting, pricing optimisation, and fraud detection. We’ll then set clear goals, create a roadmap, and identify specific use cases for integrating AI in your retail operations.
Assess & develop
Data preparation: Evaluation & model development
We’ll evaluate data sources, plan infrastructure, and aggregate diverse data. Then, we’ll develop AI models through machine learning, including algorithm selection, feature engineering, training, and validation. Models will be deployed, integrated, and tested for accuracy and performance.
Refine & scale
AI expansion: Monitoring, retraining & scaling
AI implementation is iterative, involving continuous monitoring, feedback collection, and refinements. Retraining models with more data enhances accuracy and adaptability. After successful initial deployment, expand AI across departments with chatbots for customer support, computer vision for visual product search, and AI-driven recommendation engines.
