A concrete first project for your sector.

1. 1

   Read shipping documents automatically

   Bills of lading, invoices, packing lists and certificates of origin read into your system, ready for customs, with a person checking anything uncertain.

   AI and LLM applications
2. 2

   Forecast volumes

   Predict shipments per lane, customer or week, including the peaks around Ramadan and the year end, to plan trucks, staff and warehouse space.

   Machine learning and forecasting
3. 3

   Operations dashboard

   On-time rates, cost per shipment, delays and customs clearance times in one view, refreshed every day.

   Data analysis and dashboards

Data you probably already have: TMS or ERP exports, shipment spreadsheets, PDFs and emails.

1. 1

   Demand and stock forecasting

   Forecast sales per product and branch so you reorder the right amounts before Ramadan, Eid or the summer slowdown.

   Machine learning and forecasting
2. 2

   Sales dashboards

   Sales, margins and best sellers by branch, channel and day, without building reports by hand.

   Data analysis and dashboards
3. 3

   Product content at scale

   Product titles and descriptions drafted in English and Arabic from your catalogue data, reviewed by your team.

   AI and LLM applications

Data you probably already have: Point-of-sale data, online store exports (Shopify, Salla, Zid and others), marketplace reports from noon or Amazon, stock files.

1. 1

   Lead scoring

   Leads from property portals, WhatsApp and your website sorted by how likely they are to buy or rent, so agents call the right people first.

   Machine learning and forecasting
2. 2

   Tenant and buyer assistant

   An assistant that answers in English or Arabic from your own documents (units, fees, payment plans, rules) and hands over to an agent when unsure.

   AI and LLM applications
3. 3

   Portfolio reporting

   Occupancy, rent collection, cheques due or returned, renewals and maintenance in one dashboard across all your buildings.

   Data analysis and dashboards

Data you probably already have: CRM and portal lead exports, property management systems, tenancy contracts.

1. 1

   Predict no-shows

   Flag appointments likely to be missed, so staff can confirm them by phone or WhatsApp, or offer the slot to another patient.

   Machine learning and forecasting
2. 2

   Claims and clinic reporting

   Visits, revenue and doctor utilisation, plus rejected insurance claims by insurer and reason, in one view refreshed automatically.

   Data analysis and dashboards
3. 3

   Document workflows

   Referral letters, prior-approval requests and insurer replies read and summarised, for staff to check before anything is sent.

   AI and LLM applications

Data you probably already have: Booking and clinic management systems, insurance claim and payment reports, scanned forms. Patient data stays under your control, and inside the country when health data rules require it.

1. 1

   Visual quality checks

   A camera and an image model that flag likely defects, with the suspect area highlighted for a person to check.

   Computer vision
2. 2

   Stock and purchasing forecasts

   Forecast demand per item and warehouse so you buy and produce the right amounts, and spot slow-moving stock before it ties up cash.

   Machine learning and forecasting
3. 3

   Supplier and cost analysis

   Prices, lead times, late deliveries and quality per supplier, tracked over time, so you negotiate with facts.

   Data analysis and dashboards

Data you probably already have: ERP data (Odoo, SAP Business One, Zoho, Dynamics), production logs, product photos.

1. 1

   Review analysis

   Google, booking-site and delivery-app reviews, in English and Arabic, grouped into themes: what guests love, what they complain about, and where.

   AI and LLM applications
2. 2

   Demand and staffing forecasts

   Predict covers or bookings per day and shift, including Ramadan hours, public holidays and big events, to staff and order correctly.

   Machine learning and forecasting
3. 3

   Branch performance dashboard

   Sales, food cost and ratings per branch, side by side, and what each delivery app really earns you after commission.

   Data analysis and dashboards

Data you probably already have: Point-of-sale and booking data, delivery app reports (Talabat and others), online reviews.

1. 1

   Search and summarise your documents

   Ask a question and get the answer with the exact source paragraph, or a summary of a long file, across contracts, policies and past work.

   AI and LLM applications
2. 2

   Extract key terms

   Dates, parties, amounts and clauses pulled from contracts into a table you can filter, with renewal and notice dates flagged.

   AI and LLM applications
3. 3

   Statements and invoices into tables

   Bank statements and invoices read into clean tables for bookkeeping, VAT and corporate tax work, with totals checked against the source.

   AI and LLM applications

Data you probably already have: Document archives, templates, practice management and accounting software exports.

1. 1

   Exercises and first-pass marking

   Practice exercises written for your curriculum, and students’ answer sheets marked as a first pass, with the teacher making the final call.

   AI and LLM applications
2. 2

   Enrolment forecasts

   Predict applications, re-enrolments and leavers per grade, so you plan classes, teachers and budgets for next year.

   Machine learning and forecasting
3. 3

   Student progress dashboard

   Assessment results by class, subject and term in one view, so leaders see early which students need support.

   Data analysis and dashboards

Data you probably already have: Student information system exports, assessment results, past papers and worksheets.