Anonymized clients, named decisions. Each study shows the problem, the architecture choices, and the alternatives we rejected. No invented numbers anywhere.
Case studies
Six engagements across five markets. Anonymized clients, named decisions.
Softwise built a multi-tenant field-service SaaS for an operations company in Riyadh. One codebase serves every customer through a shared-schema Postgres design with row-level security, Moyasar payments and Wafeq invoicing per tenant, and an onboarding flow that provisions a new company in under a day instead of a multi-week manual setup.
Softwise built a home-services super app for a Tunis marketplace startup: cleaning, repairs, and delivery verticals in one native mobile app. Each vertical ships as an independent module behind a shared identity, wallet, and messaging core, so a new service line launches without touching the ones already live.
Softwise connected a Lyon distributor's ERPNext instance to its e-commerce storefront and third-party logistics provider. Orders, stock, and invoices now flow automatically in both directions. Staff re-keyed every order before the integration; after it, orders move with no manual entry and stock accuracy on the storefront went from day-old to near real time.
A Dubai recruitment startup came to Softwise with a prototype built fast by a previous vendor: paying customers, weekly outages, and no path to new features. We rebuilt it as a production SaaS using a strangler-pattern migration, moving one module at a time while the old system kept serving customers. Every cutover was reversible and customers never saw a migration.
Softwise integrated AI document extraction into a Paris insurance firm's existing claims process without replacing any system the staff used. Incoming claim documents are classified and extracted by a model, verified by staff in a review screen, and pushed into the same back office as before. Every AI output is checked or spot-checked by a human before it touches a claim, and intake that took days now completes in hours.
Softwise built fleet and park management on top of ERPNext for a road-freight company in Tunis running a mixed truck and van fleet. GPS telematics, fuel card transactions, and workshop maintenance were pulled into the ERP the company already used for accounting, so each vehicle carries one running cost figure instead of being tracked across a telematics portal, a fuel supplier statement, and a workshop notebook. Preventive maintenance is scheduled from real odometer readings rather than from memory.
