Offline-first, or always-broken.
4G drops, PHCN outages and 30-minute bank-branch queues are not edge cases in Nigeria. They are Tuesday. KorevraField is engineered around that reality — not despite it.
Most field software treats the network as a thing that works. Pull up the app, sync, submit. If you lose signal mid-shift, the app grays out and you re-enter what you've done so far when you're back on. That approximation of normal is fine in London or Lagos Island, and catastrophic along the Lekki–Epe axis at 3pm on a Thursday.
KorevraField starts from the opposite assumption. The network is the exception. Your handset is the authoritative store for the next 72 hours. Syncing is how we reconcile, not how we function.
Three decisions that shape everything else
Local-first state, server as mirror. Every form, route, inventory count and photo is committed to an IndexedDB-backed store on the device before it ever touches our servers. If the rep is deep in Badagry and the mast is down, the work still happens. Syncing, when it comes, is a background reconcile against our server-side log.
Conflict resolution as a first-class feature. Two reps editing the same customer record on two phones is not a failure mode we refuse — it is a scenario we merge. Our server runs a last-writer-wins policy for individual fields, with a vector clock per record so the supervisor app shows who touched what, when, and from where. No silent overwrites.
Everything expensive happens on Wi-Fi. Photo uploads, model inference, route optimisation — none of it blocks the rep in the field. The queue flushes the moment the device lands back on a trusted network, and the rep sees a compact daily digest on their phone rather than a spinning wheel in the bush.
The operational numbers that matter
When we rebuilt the sync engine in late 2025, three internal KPIs moved in the same month: rep-minutes lost to connectivity issues fell 71%, data-reconciliation tickets at HQ dropped by roughly two-thirds, and the average time from field-entry to dashboard-visible fell from overnight to under four minutes once a device was back on Wi-Fi. Those are pilot figures across four customers, not published benchmarks — but they're the shape we optimise for.
Why you can't bolt this on later
Offline-first is not a checkbox you add to an existing always-online product. It determines your data model, your auth story, your conflict policy, and whether your reps trust the tool. Retrofitting it onto a codebase built for stable connectivity is usually harder than starting over.
If your current field stack asks your team to pretend bandwidth is reliable, the gap between the tool and the job is the tax you're paying every shift. Book a 30-minute walkthrough and we'll show you the failure modes you're absorbing that you don't have to.