Use case selection
A short list of use cases ranked by value, data readiness and risk, each with a baseline to measure it against.
Industry context
AI solutions in retail and e-commerce
We take AI from pilot to daily use, measuring each model against the process it replaces and keeping human review where its outputs affect people.
Implementing AI starts with choosing use cases where a model can be measured against today's process, then preparing the data, evaluation and human review each one needs. We then run each selected use case with monitoring, cost tracking and a clear owner for every model.
Retailers trade on thin margins, with peaks around Ramadan, Eid and White Friday and customers who move between app, website and store in a single purchase. Merchandising, store operations and digital teams each own part of that journey, so we plan changes around the trading calendar. We design governance around the UAE's national AI guidance and SDAIA's AI ethics principles in Saudi Arabia, and around sector rules such as SFDA guidance on AI-based medical devices where health use cases are involved.
We hand over with runbooks and training, and can stay on under agreed service levels.
Alongside sector regulation, we often map delivery evidence to cross-industry baselines such as the UAE Information Assurance Regulation issued by TDRA, the NCA Essential Cybersecurity Controls in Saudi Arabia and the NIST Cybersecurity Framework, which many risk reviewers already use.
How the work is organised
From design to stable operation, with the evidence commercial leadership, finance and the privacy office ask for.
Evaluation and human review
Test sets, accuracy and bias checks, and review steps for outputs that affect people, agreed before launch.
Production operation
Private hosting or a managed service, monitoring for drift and cost, and a rollback route if a model stops performing.
Consumer and data rules
We design consent, returns and customer data handling around consumer protection rules and personal data law in each market, such as the UAE PDPL and the Saudi PDPL, with ZATCA e-invoicing requirements where Saudi sales are in scope.
Data preparation
Training and test data sourced, labelled and classified, with personal data handled under the applicable data protection law.
Cost and usage control
Usage limits, cost reporting for each use case and a regular review of whether each model still earns its place.
Checks before you start
An AI use case is ready to start when there is a process to compare against, data you are allowed to use and someone who will act on the results.
- Privacy has decided the consent model for customer data.
- Each candidate use case has a named business owner and a measurable baseline from the current process.
- Privacy or legal has cleared the data for each use case for this purpose.
Plan AI solutions in retail and e-commerce
Share your current systems, compliance themes and timeline. We will return a phased plan, a staffing model and a risk register for your stakeholders to review.