pixellabs-ventures/kahraba-fa

A Moroccan residential-solar platform Pixel Labs built and co-owns: a 2-minute solar study, a WhatsApp sales bot, and a full installer back-office, in French and Darija. Kahraba Fa Your solar study in 2 minutes, from one number: your bill. A Moroccan residential-solar platform Pixel Labs built and co-owns. A homeowner enters their monthly electricity bill and gets three priced, financeable offers in about two minutes, in French or Moroccan Darija, backed by a real installer back-office that runs every lead from first message to final invoice. --- ## Four surfaces, one engine | Surface | What it is | | --- | --- | | **Instant Study** (web) | A 3-step wizard that turns one bill into three priced offers | | **WhatsApp Bot** | A conversational study that runs the same pricing engine | | **Customer Space** | A login-free project tracker, French + Darija, full RTL | | **Admin Back-Office** | A CRM, operations lifecycle, and legal invoicing | All four share one data model and one pricing engine. ## What makes it different - **An instant study from a single number.** Enter your monthly bill; the engine back-solves the whole system (consumption, array size, panel count, annual production), then prices three named offers (ECO+, STANDARD, PREMIUM) with payback and 25-year savings. - **A physics-based engine, not a calculator.** Geo-localised sun yield for 20+ Moroccan cities, automated component selection from a real bill-of-materials, and a 25-year model that compounds panel degradation against electricity inflation and net-metering under Morocco's Loi 82-21. - **A solar study inside WhatsApp.** A 5-question bilingual bot runs the same engine, generates a branded PDF server-side, delivers it as a chat attachment, and hands off to a human through Chatwoot when asked. Every chat lead lands in the CRM with the same data model as a web lead. - **A real installer back-office.** A Quote to Visit to Installation to Invoice lifecycle, a cash-aware operations calendar, and production-grade legal invoicing (independent BL, PRO, and F document series with atomic yearly counters). Cost and margin data is structurally hidden from staf …