CustomerAutone
IndustryRetail & Analytics
ServiceCloud Adoption

Supercharging a predictive retail operations platform

ServiceCloud Adoption
IndustryRetail & Analytics

Supercharging a predictive retail operations platform

Meet Autone

Autone are a SaaS operational platform, enabling retail & Consumer Packaged Goods (CPG) businesses to make optimal decisions, easily and quickly. Early 2020, Co-founders Harry Cheslaw and Adil Bouhdadi had a simple idea: how can they make the retail industry more efficient through optimised operational decisions?

This idea, combined with years of experience in data, decision intelligence and retail operations, led them to create Autone.

Since then, Autone have stayed bootstrapped and onboarded some of the worlds leading fashion companies who have been able to further grow with their platform. Simply put, Autone sets out to rethink how individuals collaborate and enhance decision-making processes, with smarter data.

€2M

Y Combinator funding received

Firemind's fully realised cloud adoption and architecture helped Autone receive €2 million in funding.

Business challenges

As with any startup, Autone were faced with the challenge of building a SaaS platform from the ground up. Exploring the necessary foundations of infrastructure, cloud enablement, resource and recruitment, scalability and a multitude of complex and data-orientated capabilities within their own technology.

They needed to be able to quickly take business ideation, and turn it into a live, visible product that could be taken to market as well as demonstrated to raise funding by VC and Angel investors.


Why Firemind?

Autone knew that in order to accelerate their journey, they’d need to work with a multi-disciplined partner. One that could rapidly absorb their ideas and technology needs, whilst delivering a best practice cloud framework with the necessary ingredients for scalability.

Firemind were able to absorb their years of experience in data and analytical understanding in the retail and CPG industries, fusing workshops and ideation with a solid plan for value add. We’d also had the privilege of working with Autone Co-founders within previous cloud projects for a world renowned retailer. During this time, we’d forged strong ties with the Founders, and developing a trust base that took us with them in their new venture.

Autone also knew that as their business relied heavily on the ability to forecast and predict, they’d need a partner who fully understood data, AI/ML integration and predictive solutions using AWS.


Autone’s project required a multi-level approach, beginning with the core best practices for adopting an AWS cloud environment, then delving into future applications of predictive technology. The platform had to cover topics including product pricing, inventory replenishment and re-ordering with the goal of covering all operational processes.

With Autone, we had to gain a thorough understanding of the many challenges that this project faced, in order to build on the following adoptive practices:

  • Best practice architecture – To ensure a secure, high-performing, resilient, and efficient infrastructure, we had to make sure we had the right tools in place. Otherwise, many of the costs, simplicity, and agility benefits of cloud applications would not have been achieved.
  • Cloud roadmap – As Autone was a startup, and therefore early doors in progression, a thorough cloud roadmap had to be created. This included aligning key objectives, developing a plan of action, preparing for execution stages, establishing governance whilst mitigating risks, optimising as the build was underway and ensuring collaboration across the team as they scaled. This roadmap formed a 6-9 month rigid timeline, merging both business and technical requirements.
  • Establish managed services – Building a production level environment meant having the foresight to incorporate resource optimisation, integration of 3rd party solutions, and define predictable spends in AWS storage.
  • Licensing and governance – In the past, organisations have had to choose between innovating faster and maintaining control over cost, compliance, and security. With Firemind and our use of AWS Management and Governance services, Autone didn’t have to choose between innovation and control — they could have both in-house access rights and visibility, as well as customer orientated dashboards.

In terms of AWS use, we began with the implementation of the core adoptive tools:

  • API Gateway – AWS service for creating, publishing, maintaining, monitoring and securing REST, HTTP and WebSocket APIs – at any scale.
  • Amazon CloudFront – A web service that speeds up distribution of static and dynamic web content, such as . html, .css, .js and image files, to multiple users.
  • AWS Amplify Hosting – A set of purpose-built tools and features that let frontend web and mobile developers quickly and easily build full-stack applications on AWS.
  • Amazon DynamoDB – Allows users the benefit of auto-scaling, in-memory caching, backup and restore options for all of their internet-scale applications using DynamoDB.
  • Amazon Simple Notification Service – A fully managed messaging service for both application-to-application (A2A) and application-to-person (A2P) communication.
  • Amazon Cognito – Lets you easily add user sign-up and authentication to your mobile and web apps.

Firemind x Autone

We met with Technical Co-founder, Harry Cheslaw, of the SaaS provider Autone. Together we look at the cloud journey both Firemind and Autone have undertaken, in order to rapidly accelerate their cloud adoption as a startup.

We dive into the challenges Autone faced, the core components to their partnership with Firemind as well as take a glimpse at what the future holds for their AWS architecture and technology.

Added value

Firemind were able to quickly identify the main challenges Autone would face, and build a detailed cloud adoption strategy that satisfied their key value areas. Not only did we deliver on each stage of the strategy, but we were also hyper collaborative with their growing team members, ensuring swift communications, documentation and enablement across their startup team.

2 weeks

From start to finish on their AWS cloud adoption journey.

Time to value

Within just 2 weeks, we had successfully helped build the framework for Autone’s services, enabling them to begin handling retail and CPG data. This included AWS setup, governance and user access options for new starters, cost optimisation and integrated AWS Managed Services.


Succesful Y Combinator funding

Having a defined platform in AWS to begin introducing customer data, meant a rapid move for investment and pre-seed funding. Autone were able to secure €2 million with Y Combinator backing the company as part of their S22 batch.


AI/ML readiness

Knowing that their platform would incorporate predictive analytics and future insight meant that Autone was in a strong position to continue working with Firemind for AI/ML integration. As they ingest a retailer’s data, recommendations are generated, allowing users to approve a given action. Their platform covers topics including product pricing, inventory replenishment and re-ordering with the goal of covering all operational processes in the future, using services such as Amazon Forecast and Amazon Comprehend.


New offering

With a concrete foundation and platform to begin ingesting customer data, Autone could provide an unrivalled product within the retail market. Their close ties to global powerhouses in the retail space ensured they could showcase their new offering and gain immediate traction – spurring on a wealth of new interest.

Customer satisfaction

“The best experience I ever had was working with Firemind at one of the world’s largest retailers. Seeing how fast they’re able to help us move, and their sheer competence across a wide variety of different factors, really made me fall in love with these guys.”

Harry Cheslaw

Technical Co-founder

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