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Find where AI actually delivers
ROI in retail operations
We help retail teams identify bottlenecks, prioritise automation opportunities and quantify impact across supply chain, logistics, e-commerce and stock replenishment workflows.
Join the webinar
Tuesday 19 May · 10:00 – 10:50 am · Online
Webinar: A data-driven framework for guaranteed AI ROI
Up to 95% of AI initiatives fail to deliver real ROI. Learn a practical framework grounded in your data, processes and business context, including a live demonstration and real-world use cases, followed by interactive Q&A.
Why retail AI projects stall
Retail teams often know there is inefficiency, but not where to act first.
Supplier onboarding, purchase orders and goods-in workflows generate huge volumes of data, but without mapping how those processes actually run AI tools end up automating the wrong steps or masking root-cause delays.
Fulfilment, dispatch and last-mile delivery involve dozens of handoffs. Implementing AI without visibility into where exceptions and bottlenecks really occur leads to expensive solutions that miss the biggest inefficiencies.
Order processing, returns and customer service workflows look simple on paper but behave very differently in practice. AI projects that skip process analysis often automate symptoms rather than fixing the underlying breakdowns.
Replenishment decisions depend on demand signals, lead times and warehouse capacity. All of those drift over time. Without checking AI recommendations against real operational data teams risk embedding the same biases that caused stockouts or overstocks in the first place.
A practical way to prioritise AI in retail
Connect the data
Work with 848 to extract the relevant operational data from your existing systems. That includes the process records, timestamps and handoff points that show where work slows down across stores, warehouses and digital channels.
Map the reality
Prescient Labs then maps how work actually happens, not how it was meant to happen. This reveals the real flow of activity, the exceptions teams work around every day and the hidden variation that is not visible in static process diagrams.
Find the issues
We find the delays, bottlenecks and rework that are costing time and money. You can then see which issues are creating the biggest operational drag and where poor workflow design is driving avoidable effort.
Prioritise action
Expert 848 AI consultants will provide you with a practical recommendation of the highest-impact AI and automation opportunities and where to start. The result is a clearer shortlist of initiatives that can deliver measurable value without forcing the team into a large unfocused transformation programme.
Prescient Labs provides the intelligence layer. 848 consultants help translate insight into practical delivery.
Together, we help teams move from AI interest to clear operational action.
Get the retail case study
See how process mining across 26,000+ customer interactions revealed 42 hidden drop-off points, 78% reverse flow in service journeys and a clear AI intervention roadmap to reduce complaint resolution times and avoidable service demand.
We'll only use your details to send the case study and relevant follow-up.