The Complete Guide to Using AI in the Retail Industry in Tunisia in 2025
Last Updated: September 14th 2025

Too Long; Didn't Read:
Tunisia's retail AI opportunity in 2025: near‑80% internet penetration (~10M users) and 2nd place in Africa's AI Talent Readiness Index support pilots in personalization, conversational assistants and dynamic pricing. With Q2 growth 3.2% (2025 forecasts 1.9–2.5%), prioritize micro‑experiments, hybrid edge+cloud and measurable KPIs (a 1% lift can be material).
Tunisia's retail sector entered 2025 with real momentum: a national push toward AI and digital skills, near‑80% internet penetration (close to 10 million users) and a strong talent pipeline - Tunisia placed second in the Africa 2025 AI Talent Readiness Index - make this a practical moment to deploy AI in stores and online (Tunisia AI potential for economic growth and job creation, Africa 2025 AI Talent Readiness Index - Tunisia ranking).
Global research shows the biggest retail wins in 2025 come from focused pilots - personalization, conversational shopping assistants and dynamic pricing - after retailers clean and unify customer data; think smart carts that recommend coupons at checkout or chatbots that guide grocery lists (Generative AI retail use cases: personalization, conversational assistants, and dynamic pricing).
For Tunisian retailers the “so what” is simple: combine local digital readiness with targeted data projects and upskill teams - short, practical courses like Nucamp AI Essentials for Work bootcamp (15 Weeks) - registration teach tool use and promptcraft to turn pilots into measurable savings and better customer experiences.
Bootcamp | Length | Early bird cost | Registration |
---|---|---|---|
AI Essentials for Work | 15 Weeks | $3,582 | Register for Nucamp AI Essentials for Work (15 Weeks) |
Solo AI Tech Entrepreneur | 30 Weeks | $4,776 | Register for Nucamp Solo AI Tech Entrepreneur (30 Weeks) |
Table of Contents
- What is the AI strategy in Tunisia? (Roadmap 2021–2025)
- What is the economic growth rate in Tunisia in 2025? Context for retail AI in Tunisia
- How are IT departments using AI in Tunisia's retailers?
- How is AI used in the IT sector and retail tech stack in Tunisia?
- Top AI use cases for Tunisian retailers in 2025
- Technology & infrastructure choices for Tunisian retailers
- Vendors, agencies and partners to work with in Tunisia
- Regulation, governance & ethics for AI in Tunisia's retail sector
- Conclusion & next steps for Tunisian retailers in 2025
- Frequently Asked Questions
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Connect with aspiring AI professionals in the Tunisia area through Nucamp's community.
What is the AI strategy in Tunisia? (Roadmap 2021–2025)
(Up)Tunisia's national AI strategy for 2021–2025 is anchored in a practical roadmap that spells out awareness, skills and ecosystem-building rather than lofty slogans: the Tunisia AI Roadmap sets clear objectives to acculturate and demystify AI, develop AI skills, establish cloud and HPC infrastructure, adopt data and open‑data policies, promote networking and run pilot projects across public and private sectors (Tunisia AI Roadmap (OECD.AI)).
That national plan sits alongside the broader National Digital Strategy 2021–2025, which reinforces legal and governance reform, connectivity and hosting capacity, cyber security, public sector digital transformation and targeted capacity building to ensure the country can scale pilots into services (National Digital Strategy 2021–2025).
Complementing these moves, a Public Procurement for Innovation programme is designed to adapt e‑procurement rules and open market access for startups, a practical lever to get AI projects from labs into Tunisian shops and government services (Public Procurement for Innovation).
The combined picture is concrete: build the infrastructure, train the people, change procurement and run pilots - think national-level plumbing and experiments rather than one-off proofs of concept.
Field | Detail |
---|---|
Start Year | 2021 |
End Year | 2025 |
Responsible organisations | Ministry of Industry, Mines and Energy; National Research and Innovation Programme (PNRI); High Authority for Public Procurement (HAICOP) |
Status | Inactive – initiative complete |
Target sectors | Public governance, Innovation, Digital Economy |
What is the economic growth rate in Tunisia in 2025? Context for retail AI in Tunisia
(Up)Tunisia's macro backdrop for 2025 matters for any retailer thinking about AI pilots: headline growth accelerated sharply in Q2 - 3.2% year‑on‑year, up from 1.8% in Q1 and lifting H1 growth to about 2.4% - signaling a pickup in local demand driven by stronger agriculture and manufacturing (see the Q2 update from ProfileNews).
That momentum is mirrored in international forecasts that vary by method - the World Bank projects a more modest 1.9% for 2025 while industry forecasters at BMI (Fitch Solutions) lifted their 2025 GDP outlook to roughly 2.5% after the strong Q2 - so retailers should plan for a cautiously improving market, not a boom.
For AI projects this means more predictable footfall and marginally higher consumer confidence to support personalization pilots, dynamic pricing experiments and inventory‑optimization models, but persistent risks remain (inflation, trade pressures and public debt) that can blunt discretionary spending.
A simple rule of thumb: prioritize AI pilots that reduce operating costs or boost repeat purchases, because even a small percentage lift in conversion can outsize the benefit when macro growth is steady but modest - imagine a loyalty engine that turns a 1% conversion bump into meaningful monthly cash flow.
Indicator | Value / Note | Source |
---|---|---|
Q1 2025 growth | 1.8% | ProfileNews Q2 2025 Tunisia economic growth report |
Q2 2025 growth | 3.2% (strongest since late 2022) | ProfileNews Q2 2025 Tunisia economic growth report |
H1 2025 cumulative | 2.4% | ProfileNews Q2 2025 Tunisia economic growth report |
2025 forecast (World Bank) | 1.9% | World Bank Tunisia 2025 growth forecast - May 2025 |
2025 forecast (BMI / Fitch Solutions) | 2.5% | BMI / Fitch Solutions Tunisia GDP outlook - Aug 2025 |
"Tunisia continues to show resilience amid a complex global and domestic environment," said Alexandre Arrobbio, World Bank Country Manager for Tunisia.
How are IT departments using AI in Tunisia's retailers?
(Up)Tunisia's retail IT teams are turning AI from a buzzword into practical plumbing: AIOps platforms are being piloted to tame alert fatigue, automate triage and keep POS, e‑commerce and inventory systems humming so stores can focus on customers rather than firefighting; industry writeups note that AIOps delivers real‑time visibility, predictive alerts and measurable cost savings for busy IT shops (Riverbed blog: How AIOps increases efficiencies and ROI, Fortinet: AIOps - the future of IT operations).
At the same time, local infrastructure and skills investments - notably Novation City's new AI innovation hub with NVIDIA DGX access and free DLI courses - give retailer IT departments a runway to experiment with computer vision for shelf monitoring, accelerated recommendation engines and faster model training close to Tunisian universities and startups (NVIDIA: Novation City Tunisia AI innovation hub).
The practical result: smaller retailers can prioritize quick wins - automated ticketing, predictive outages and inventory alerts - that save hours per week, while larger groups use GPU clusters and trained local talent to move pilots into production; picture a dashboard that spots a looming outage before the checkout queues grow, turning prevention into profit.
“Novation City has launched several key AI initiatives to strengthen the ecosystem, with NVIDIA's support being instrumental in empowering AI startups and advancing AI skills,” said Anas Rochdi, chief innovation officer at Novation City.
How is AI used in the IT sector and retail tech stack in Tunisia?
(Up)Tunisia's retail tech stack is becoming a pragmatic mix of local GPU firepower, data‑driven agents and practical automation: Novation City's NVIDIA‑backed AI hub in Sousse gives startups and retailer IT teams access to DGX infrastructure and free Deep Learning Institute courses so models can be trained and iterated close to universities (Novation City AI innovation hub in Sousse (NVIDIA blog)); at the application layer, Databricks' analysis of AI agents shows clear paths for autonomous supply decisions, hyper‑personalized offers and frontline assistants that turn data into fast, operational guidance - exactly the kinds of systems Tunisian retailers can pilot to move from spreadsheets to real‑time recommendations (Databricks analysis: AI agents transforming the retail industry).
Closer to the back office, Tunisian firms already adopt ATS screening, chatbots and scheduling automation as low‑friction wins for HR and customer flows, though research flags cost, bias and change‑management as real constraints (Study: AI and the recruitment process in the Tunisian context).
Put together, the stack looks like: local DGX and training to build models, agentic AI to automate routine decisions, and lightweight automation in HR and service - so a small team in Sousse can prototype a personalization engine on the same campus where the DGX sits and then test it in a nearby store within weeks, turning theory into measurable retail uplift.
Component | Typical Tunisian use / evidence |
---|---|
Infrastructure (GPU & training) | Novation City DGX access + NVIDIA DLI courses for startups and researchers (Novation City AI innovation hub in Sousse (NVIDIA blog)) |
Agentic / operational AI | Autonomous supply decisions, hyper‑personalization, frontline assistants per Databricks analysis (Databricks analysis: AI agents transforming the retail industry) |
HR & service automation | ATS screening, chatbots, scheduling automation - practical, lower‑cost wins but with bias/cost concerns (Study: AI and the recruitment process in the Tunisian context) |
“Novation City has launched several key AI initiatives to strengthen the ecosystem, with NVIDIA's support being instrumental in empowering AI startups and advancing AI skills,” said Anas Rochdi, chief innovation officer at Novation City.
Top AI use cases for Tunisian retailers in 2025
(Up)Top AI use cases for Tunisian retailers in 2025 are practical and tightly focused: hyper‑personalized product recommendations and loyalty integration, already proven in Carrefour Tunisia AI-powered recommendations case study, conversational shopping assistants for grocery sites and smart carts that suggest coupons or recipes in real time, and dynamic pricing for convenience stores to protect margins while staying competitive, as outlined in the Publicis Sapient generative AI retail use cases guide.
Equally important in Tunisia are demand forecasting and inventory optimization to cut stockouts and waste, AI‑driven merchandising and shelf‑monitoring to keep displays shoppable, and virtual knowledge assistants for B2B or store staff to speed answers and reduce training time - small pilots here can turn a 1% conversion bump into steady monthly cash flow.
Start small, measure results, and scale the wins that save hours or shrink shrinkage: the combination of personalization, automation and smarter merchandising is where Tunisian retailers will see tangible ROI in 2025, as discussed in the StartUs Insights guide to AI in retail.
“If retailers aren't doing micro-experiments with generative AI, they will be left behind.” - Rakesh Ravuri, CTO at Publicis Sapient
Technology & infrastructure choices for Tunisian retailers
(Up)For Tunisian retailers the sensible technology play in 2025 is hybrid: combine cloud-hosted analytics and model training with edge appliances that keep stores running fast, private and resilient - think right-sized NUC‑style appliances in the back room that power POS, smart‑shelf sensors and low‑latency personalization without depending on a flaky connection (retail edge computing HCI solutions).
Cloud POS brings easy updates and centralized reporting, but an edge-first layer preserves uptime, reduces bandwidth and keeps sensitive payments and PII local when needed, a practical balance that vendors like NCR Voyix Edge retail edge platform and platforms described above recommend.
For AI use cases - real‑time fraud checks, shelf monitoring and checkout automation - Edge AI architectures (on-device models plus selective cloud sync) cut latency and cost while enabling offline operation and faster experiments; the result is a store that can push a price change or a targeted coupon in milliseconds and keep selling even if the internet drops (edge AI for POS and retail systems).
A vivid, practical test: deploy a compact, self‑healing edge box per store to run local recommendations and camera analytics, then centralize long‑term learning in the cloud - this “local first, selective cloud sync” approach turns each boutique or grocer into a real‑time, privacy‑aware node of a national retail chain while keeping operational overhead manageable.
“In a retail store, edge is in some ways just a distributed cloud – but a vastly different type of cloud.”
Vendors, agencies and partners to work with in Tunisia
(Up)Tunisia's partner landscape in 2025 blends nimble local agencies, community networks and high‑level convenings - start your shortlist with directories like Sortlist directory of AI agencies in Tunisia, which lists options from low‑cost entrants (Convergen and Sierra Bravo from about €1,000) to larger providers (Digital Friendly from €10,000) and highly rated boutiques such as The Road – Agence Digitale (4.9, Tunis) and Interacti Marketing Agency (Sfax); these firms cover marketing, e‑commerce and practical AI projects and give retailers clear price and team‑size signals.
Pair vendor selection with ecosystem ties - membership in the Tunisian AI Society (TAIS) membership and research collaborations connects retailers to academic talent, practitioners and research collaborations - while forums like the International Forum of L'Économiste Maghrébin - Euro‑Tunisian matchmaking forum have pushed Euro‑Tunisian matchmaking and B2B platforms that help scale pilots into cross‑border partnerships.
Practically speaking, mix a local agency for fast experiments (chatbots, personalization pilots) with TAIS contacts and forum‑sourced integrators for larger supply‑chain or inventory work; that triangle - agency + community + strategic forum - keeps projects lean, locally anchored and ready to scale without unnecessary vendor lock‑in.
Vendor | Location | From (AI services) |
---|---|---|
Celestial wave digital | Tunis | €5,000 |
The Road - Agence Digitale | Tunis | €3,000 |
Convergen Agence Marketing Digital | El Kram | €1,000 |
Digital Friendly Agency | Tunisia | €10,000 |
Interacti Marketing Agency | Sfax | €6,000 |
Sierra Bravo Intelligence | Carthage | €1,000 |
"There is no better response to global geopolitical upheavals than unity. And there is no time to waste if we want to open a new industrial chapter rooted in innovation and responsibility," - Hédi Méchri, as quoted at the International Forum of L'Économiste Maghrébin.
Regulation, governance & ethics for AI in Tunisia's retail sector
(Up)Regulation, governance and ethics are the guardrails that let Tunisian retailers scale AI without trading trust for speed: Tunisia's national AI Roadmap (2021–2025) sets practical goals - awareness, skills, cloud/HPC infrastructure, open‑data policies and public‑private pilot projects - while remaining a non‑binding guidance document shepherded by the Ministry of Industry, PNRI and HAICOP (Tunisia AI Roadmap (OECD AI Dashboard)); at the same time, a digitized procurement backbone (TUNEPS) has already proven its value by publishing tenders online, expanding SME access (3,350 e‑bids and 6,400 procurements by 2019) and removing the old need for suppliers to travel to Tunis to bid (TUNEPS e-procurement transparency and SME access (SDG16.plus)).
Practical AI governance for retailers should follow procurement best practice - ask vendors what
AI-powered
actually means, require vendor vetting, data security and explainability, and build human-in-the-loop checks - echoing enterprise templates that stress data privacy, bias mitigation, ongoing monitoring and vendor criteria (AI procurement policy guide (FairNow)).
The so‑what: firms that pair TUNEPS‑style transparency with a simple AI procurement policy (data controls + bias checks + human oversight) can access better suppliers and avoid common harms - because a single, explainable supplier scorecard can stop biased automation from becoming an expensive, invisible problem.
Initiative | Key points / evidence |
---|---|
Tunisia AI Roadmap (2021–2025) | Non‑binding guidance; objectives include awareness, skills, infrastructure, open data and pilots; responsible: Ministry of Industry, PNRI, HAICOP (Tunisia AI Roadmap (OECD AI Dashboard)) |
TUNEPS e‑procurement | Promotes transparency and SME access; supported 3,350 e‑bids and 6,400 procurements by 2019; reduced travel to Tunis for bidders; SME procurement target introduced but only 17% awarded to SMEs by 2020 |
Conclusion & next steps for Tunisian retailers in 2025
(Up)Conclusion & next steps for Tunisian retailers in 2025: Tunisia's policy momentum and local talent make this the year to move from pilots to repeatable practice - start by locking down the fundamentals (clean, unified customer data and clear KPIs), run fast micro‑experiments that prioritize cost reduction or repeat purchases, and choose hybrid architectures (edge + cloud) so stores stay resilient when connectivity dips.
Follow the national playbook: the updated OECD Tunisia AI Roadmap (2021–2025) stresses skills, infrastructure and public‑private pilots; Publicis Sapient's playbook recommends small, measurable generative AI experiments that only scale after data foundations are solid (Publicis Sapient generative AI retail playbook and use cases); and practical upskilling - courses like Nucamp AI Essentials for Work bootcamp (15 weeks) - puts non‑technical staff on the front line of promptcraft and tool use.
Start with a handful of micro‑projects (loyalty personalization, inventory forecasting, conversational assistants), measure conversion and cost impact, then stitch winners into procurement and governance checklists aligned with TUNEPS transparency.
The payoff is tangible: small conversion uplifts compound across a national chain, and retailers that pair clear governance with quick experiments will turn Tunisia's AI readiness into durable commercial advantage.
Next step | Why it matters | Quick resource |
---|---|---|
Clean & unify customer data | Foundation for reliable personalization and LLM work | Publicis Sapient data-first guidance for generative AI in retail |
Run focused micro-experiments | Fast feedback, limited cost, clear ROI gating | Publicis Sapient generative AI pilot playbook for retail |
Upskill frontline teams | Prompts, tools and governance reduce vendor risk | Nucamp AI Essentials for Work bootcamp (15 weeks) |
Align with national roadmap | Leverage public pilots, procurement and infrastructure | OECD Tunisia AI Roadmap (2021–2025) |
“Using artificial intelligence in planning is now a necessity. Those who fail to adapt risk marginalization.” - Mohamed El Kou, President of Tunisia's Development Planning Commission
Frequently Asked Questions
(Up)What is Tunisia's AI strategy for 2021–2025 and what does it mean for retailers?
Tunisia's 2021–2025 AI Roadmap is a practical, non‑binding plan focused on awareness, skills, cloud/HPC infrastructure, open‑data policies and public‑private pilot projects. Responsible organisations include the Ministry of Industry, PNRI and HAICOP. For retailers this means national-level plumbing (connectivity, training and procurement reforms) and explicit support for pilots - so retailers should align projects with the roadmap, use public procurement channels (including the Public Procurement for Innovation programme) to access local suppliers, and prioritise measurable pilots that leverage local skills and infrastructure.
What is the 2025 economic context in Tunisia and how should retailers pick AI pilots?
Macro momentum in 2025 is cautiously positive: Q1 growth was about 1.8%, Q2 rose to 3.2%, and H1 cumulative growth was ~2.4%. Forecasts vary (World Bank ~1.9%, BMI/Fitch ~2.5%). That implies steady but modest demand, so retailers should prioritise AI pilots that reduce costs or increase repeat purchases (e.g., inventory optimisation, loyalty‑driven personalization). Small conversion uplifts (even 1%) can meaningfully improve monthly cash flow in this environment.
Which AI use cases deliver the fastest, most practical wins for Tunisian retailers in 2025?
Focus on tight, measurable pilots: hyper‑personalized recommendations and loyalty integration; conversational shopping assistants and chatbots for grocery lists; dynamic pricing for convenience retail; demand forecasting and inventory optimisation to cut stockouts and waste; shelf‑monitoring/computer vision to keep displays shoppable; and virtual knowledge assistants for staff. Run micro‑experiments, measure conversion and cost impact, then scale winners.
What technology and infrastructure approach should Tunisian retailers adopt?
Adopt a hybrid architecture: cloud for centralized analytics and long‑term learning, with edge appliances (compact, NUC‑style or self‑healing edge boxes) in stores for low latency, privacy and offline operation. Use local GPU resources where available (e.g., Novation City NVIDIA DGX access and DLI courses) to train models near talent, and deploy AIOps for IT (alert triage, predictive outages) plus on‑device models for real‑time personalization, shelf analytics and checkout automation.
What governance, procurement and upskilling steps should retailers take before scaling AI?
Follow procurement best practice (TUNEPS transparency and Public Procurement for Innovation where relevant): require vendor vetting, clear definitions of 'AI‑powered' features, data security controls, explainability and human‑in‑the‑loop checks. Implement simple vendor scorecards that include bias mitigation, monitoring and incident response. Invest in short, practical upskilling (promptcraft, tool use and domain‑specific training) so frontline staff can use, test and govern generative and operational AI safely.
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Ludo Fourrage
Founder and CEO
Ludovic (Ludo) Fourrage is an education industry veteran, named in 2017 as a Learning Technology Leader by Training Magazine. Before founding Nucamp, Ludo spent 18 years at Microsoft where he led innovation in the learning space. As the Senior Director of Digital Learning at this same company, Ludo led the development of the first of its kind 'YouTube for the Enterprise'. More recently, he delivered one of the most successful Corporate MOOC programs in partnership with top business schools and consulting organizations, i.e. INSEAD, Wharton, London Business School, and Accenture, to name a few. With the belief that the right education for everyone is an achievable goal, Ludo leads the nucamp team in the quest to make quality education accessible