Top 10 AI Prompts and Use Cases and in the Retail Industry in Belgium

Belgian retailers are at a tipping point: national e‑commerce turnover hit €17.4 billion in 2024 with 58% of purchases on mobile, so AI-powered personalization, demand forecasting and localized content can unlock real growth and fewer stockouts; a Benelux study finds high perceived data readiness and planned generative‑AI investment (median $18.5M) but also worries about talent, governance and rollout speed - Belgium even convened a citizens' panel on AI in Feb 2024 to shape policy.

Multilingual AI matters here too: customers prefer native‑language experiences, so chatbots and localized product copy boost engagement and cross‑border sales.

For Belgian retailers ready to act, combine the region's data strengths with targeted upskilling and practical prompt skills - resources like Cognizant's Benelux gen‑AI report and a Belgium e‑commerce guide map priorities, and Nucamp's AI Essentials for Work bootcamp teaches prompt writing and business use cases to get teams moving.

“We see our customers as invited guests to a party, and we are the hosts...” - Jeff Bezos

Selection began with a practical, Belgium‑centered filter: every candidate prompt and use case had to clear a legal “risk sieve” based on the EU AI Act's product‑centric risk categories and national reality - removing ideas that would touch banned practices (real‑time biometric ID, covert emotion‑recognition or untargeted face scraping) and prioritising low‑ to medium‑risk retail wins such as personalization and demand forecasting, where Belgian adoption rose sharply from 13.81% in 2023 to 24.71% in 2024 and retailers already lean on AI for marketing & sales; see the ActLegal overview of Trustworthy AI for Belgium for details.

Prompts were then audited for GDPR alignment and operational governance following the Belgian DPA's guidance on the interplay between GDPR and the AI Act (DPO involvement, DPIAs, retention rules, and user transparency were gating criteria).

Finally, usability and SME readiness drove ranking: pilots that fit SME resources, regulatory sandboxes or GPAI timelines scored higher, and anonymisation/legitimate‑interest checks were applied consistent with the EDPB's model guidance to avoid reusing unlawfully processed data - the result is a shortlist of ten prompts that balance legal safety, commercial impact and deployability in Belgium.

AI technologies may bring many opportunities and benefits to different industries and areas of life. We need to ensure these innovations are done ethically, safely, and in a way that benefits everyone. - EDPB Chair Talus

Belgian retailers can move from guesswork to action by applying prompt engineering to customer feedback: a Sailpeak case study shows a tailored prompt programme for one of Belgium's largest retail banks unlocked millions in productivity by automating 80% of feedback categorisation, producing executive‑ready summaries and cutting turnaround from 10+ days to under 48 hours - faster than a long weekend - so product teams get actionable themes almost in real time; read the Sailpeak case study for the full playbook.

Pair that with robust multilingual sentiment tooling (models that support 17 languages and five sentiment classes) and retailers can spot regional complaint clusters, prioritise urgent tickets and localise responses without building heavy infrastructure - see examples of multilingual sentiment approaches and models for scale.

Practical refinements - iterative prompting, asking for rationale and confidence scoring - make outputs reviewable and deployable across stores, CRM and marketing, turning customer voices into measurable operational improvements.

“Most teams already have access to AI. The missing link is knowing how to talk to it.” - Léonard, Prompt Engineer

For Belgian retailers hungry for higher loyalty and smarter offers, dunnhumby's playbook on hyper-personalisation and “next‑best‑action” is a practical roadmap: their research argues that personalisation is already mainstream (about 75% of banners deliver personalised recommendations online and 86% do so via apps), and the same techniques that lift conversion - tight customer segmentation, realtime signals and relevance-driven offers - translate directly to Belgium's multilingual, mobile-first market; see dunnhumby's research hub for the latest insights and the focused piece on 2024 priorities that calls out personalisation as a top route to revitalise loyalty.

Start small: use purchase and app-behaviour signals to trigger a next‑best‑action (bundle offer, recipe suggestion, or a timed loyalty nudge) and monitor uplift by cohort - the magic is in turning one clear signal into one targeted action, not in chasing every possible model.

For practical, local grounding, pair dunnhumby's use-case templates with Belgian-focused playbooks on inventory and GDPR-safe deployment so personalisation feels helpful, not creepy, to shoppers - think of it as a trusted clerk who remembers a customer's favourites and suggests the exact extra they didn't know they needed.

Automated product content generation and localization - think of an H&M Creator Studio-style workflow tuned for Belgium - means pairing sharp prompt engineering with a human‑in‑the‑loop review so product titles, descriptions and size notes land in Dutch, French and German without sounding machine‑made; LILT's practical tips on prompt clarity, role assignment and style guides show how to get consistent, brand‑safe outputs, while Lionbridge's guidance urges a hybrid LLM+linguist model for quality and legal caution in sensitive or technical copy, and prompt libraries like Weglot's give concrete starting points for SEO‑aware multilingual prompts; combine rapid AI drafts with native speakers to catch local idioms (so the same sweater reads like a friendly clerk's recommendation in Antwerp, a polished online pitch in Brussels and a casual social post in Liège), and you keep listings accurate, discoverable and culturally resonant across Belgium's three language communities.

LILT tips for effective LLM prompting and multilingual content, Lionbridge generative AI guidance for translation and localization, Weglot AI prompt list for international marketing and SEO-aware multilingual prompts

Visual search and virtual try‑on in Belgium can move from novelty to daily utility by combining fine‑tuned vision‑language models with generative text models: retailers can train a BLIP‑2 style VLM to read images (fabric, sleeve length, pattern) and then call a Bedrock‑style LLM to produce SEO‑ready product copy and fit guidance, turning a shopper's snapped photo into an instant product match and a believable virtual try‑on preview - imagine a Ghent shopper pointing a phone at a jacket and getting

long sleeves, water‑resistant polyester plus a tailored size suggestion in Dutch or French within seconds.

The AWS visual search technical blueprint shows the engineering path (SageMaker fine‑tuning, endpoints, LoRA for efficient training and Bedrock for description generation) that makes this feasible at scale, while Belgian retailers will see the same practical payoff - fewer stockouts, faster merch updates and leaner working capital - when visual tools feed better inventory decisions and searchability for mobile buyers.

Read the AWS visual search technical blueprint and learn more about practical retail AI applications in Nucamp's AI Essentials for Work syllabus.

For Zara‑style fashion assortments in Belgium, the real wins come from SKU‑level demand forecasting paired with adaptive inventory rules: asking models to predict each SKU's demand (not just a category average) reduces costly overstock and stockouts by turning sales history, promotions and seasonality into precise reorder triggers - see the practical guide to SKU-level demand forecasting at Peak AI for the mechanics.

Belgian retailers should layer probabilistic forecasts or adaptive order parameters to manage uncertainty (RELEX probabilistic forecasting approach shows how ranges and forward‑looking buffers beat brittle single‑point forecasts), then automate dynamic safety stock so planners can steer outcomes without drowning in complexity.

Real‑time analytics and SKU‑level signals (Prediko recommendations) let teams spot viral spikes or regional dips quickly, while automation and high‑density fulfilment tools shrink lead times and free working capital - a clear local benefit documented in Nucamp's Back End, SQL, and DevOps with Python inventory optimization guide for Belgian stores.

Start by splitting fast movers from slow movers, give planners simple levers to tune buffers, and measure forecast accuracy weekly; the payoff is tangible: fewer surprise stockouts at peak moments and fewer end‑of‑season pallets of unwanted styles clogging warehouse space.

Dynamic pricing and promotion optimisation can be a practical, high-impact play for Belgian retailers when it's designed with local trust and operations in mind: start with a narrow pilot (perishables, high-turn electronics or a loyalty-linked promo), wire the engine to real-time sales, inventory and competitor feeds, and use electronic shelf labels so in‑store and online prices stay in sync - the Datallen guide explains how ESLs and rule-based algorithms let teams update thousands of tags in seconds and run time‑based markdowns to cut waste.

Balance ambition with customer trust by avoiding opaque, individualized price hikes and instead deliver personalised value through loyalty offers and clear messaging; Omnia Retail's playbook shows how competitor, demand and time‑based models combine to protect margins without alienating shoppers.

Finally, empower pricing teams with prompt-driven analysis and scenario testing (see Pricefx's ChatGPT prompts for pricing teams) so decisions are explainable, auditable and tuned to Belgian shopping patterns - the payoff is measurable: fewer stockouts, smarter promotions and steadier margins across a multilingual, mobile‑first market.

For a retailer the size and profile of The North Face in Belgium, conversational AI should be practical first and flashy second: multilingual chatbots that answer Dutch, French and German questions 24/7 shave repetitive tickets, boost conversion and make loyal mobile‑first shoppers feel understood in their mother tongue.

Start with one high‑value flow (order status, store inventory lookup or loyalty checks), wire it into CRM and inventory systems for real‑time answers, and design smooth human handoffs so escalations carry full context - best practices that improve containment rate and CSAT rather than just cutting headcount.

Pick channels where Belgian customers live (site chat, app, WhatsApp) and use a single multilingual architecture to preserve parity across tongues; Master of Code's primer on multilingual assistants lays out the tradeoffs between one‑bot and multi‑bot designs, while Denser's chatbot playbook guides UX, pacing and graceful fallbacks.

For accurate translations and enterprise integration consider translation adapters like Language I/O to keep tone and brand voice consistent across languages.

The payoff is tangible: faster answers, fewer repeats at the contact centre, and a buying experience that feels like a helpful in‑store clerk - only available any hour, in the shopper's language.

In‑store computer vision is now a practical lever for Belgian retailers to boost on‑shelf availability, speed up checkouts and cut shrink - especially when models run close to the camera to keep latency low and data local.

Edge‑first deployments reduce round‑trip delays and privacy risk (a clear benefit under Belgian GDPR expectations), while camera + AI bundles can turn continuous imagery into action: Captana wireless GDPR-compliant shelf cameras for real-time SKU alerts promise real‑time SKU alerts and reporting that have driven average gains like +4% on‑shelf availability and +2% sales, helping stores prioritise restocking where it really matters.

Robot and multi‑view approaches amplify that visibility - the Simbe Tally retail computer vision robot can scan a typical store in about three hours and capture roughly 400 images per aisle, producing precise gap detection and daily task lists so staff fix empty shelves before customers notice.

Pairing edge inference, careful vendor selection and clear human review workflows turns shelf analytics, queue management and loss prevention from pilots into repeatable Belgian store wins.

“The BJ's brand and mission are all about creating an exceptional member experience. Tally is an amazing robot that allows us, with computer vision, to see exactly where our stock is every single day in every place in the store.” - Krystyna Kostka, SVP of Store Operations at BJ's Wholesale Club

Marketing automation for Michaels in Belgium should marry mobile‑first, multilingual convenience with tightly segmented lifecycle flows so onboarding and reactivation feel helpful rather than intrusive: start with a welcome series modeled on proven examples (REI's welcome email example with a 15% onboarding coupon is a good template) and follow with behaviour‑driven nudges for activation, cart rescue and winbacks; the playbook from Customer.io lifecycle emails playbook for onboarding and activation explains how to sequence onboarding, activation and milestone messages across channels, while Amplitude's lifecycle analytics guide for cohort measurement stresses real‑time data and cohort measurement to raise CLV and cut churn.

Prioritise omnichannel parity - email, push, SMS and in‑app - keep messages short and localised for Dutch/French/German audiences, and run reactivation experiments (timed discounts, product reminders or loyalty nudges) to see what moves lapsed shoppers.

Finally, thread GDPR‑safe automation and human review into every flow so personalised value scales without regulatory risk - Nucamp AI Essentials for Work GDPR guidance is a practical starting point for Belgian rollouts, turning lifecycle messaging into measurable repeat purchases and steadier loyalty.

Fraud detection and returns‑abuse mitigation in Belgium should center on fraud scoring: a dynamic numerical risk rating that combines device fingerprints, IP & geolocation checks, email and payment signals, and behavioural patterns to decide whether to approve, review or block an order - exactly the approach detailed in the iDenfy fraud-scoring playbook and the SEON fraud scoring guide.

For Belgian retailers the priority is twofold: stop payment fraud and promo/return abuse without adding friction for legitimate, multilingual shoppers; real‑time scoring and adaptive authentication (extra verification only for medium‑risk cases) reduce chargebacks and serial returners while protecting conversion, and keeping decisions explainable is essential for GDPR and merchant trust.

Practical steps are clear from the research: enrich checkout signals with device and IP intelligence, combine whitebox rules (audit‑friendly thresholds) with ML models that learn new patterns, and route only borderline cases to human review so operations scale.

Localise thresholds for Belgian buying rhythms and tie scoring to returns flags (high‑risk accounts, repeated cross‑region returns, mismatched delivery addresses) so the system learns what “normal” looks like in your stores - stopping many abuses in seconds and freeing staff to focus on true exceptions; see the iDenfy fraud-scoring playbook and the SEON fraud scoring guide for implementation patterns and Nucamp's GDPR guidance for Belgian compliance.

“Machine learning techniques provide that layer of intelligence that allows us to identify risk situations, analyze them very quickly and intervene when necessary. We have reduced false positives by 40% and increased our ability to handle anomalies by more than 20%.” - Raffaele Panico, Head of Fraud Management and Security Intelligence

Belgian retailers ready to move from ideas to impact should treat AI as a practical, governed programme: pick one high‑value pilot (a single SKU group, one loyalty flow or one store) to prove uplift, embed GDPR‑safe human review, and use regional support and sandboxes to de‑risk rollout - Belgium's national AI strategy and regional programmes (Flanders, Wallonia, Brussels) already offer funding, skills and test environments to tap into (see the European Commission's Belgium AI strategy report), while boards must own oversight and policy (Osborne Clarke's board checklist highlights audit, vendor due diligence and director duties).

Keep pilots simple, measure cohort uplift weekly, and align contracts and IP so innovations aren't stranded; regulators' timelines also matter - Member States are designating AI Act authorities this year, so build compliance into day one.

For teams needing practical prompt and business‑use skills, consider structured upskilling like Nucamp's AI Essentials for Work to shorten the learning curve and turn a single, well‑measured pilot into a repeatable, multilingual Belgian rollout.