The problem
Before ForLab+, Ethiopia's national pharmaceutical supply planning process was fragmented and time-intensive. Facility supply plans were completed by hand or in spreadsheets, collected by regional teams on their own timelines, and reconciled manually in Addis Ababa. The national picture took weeks to emerge. The deeper problem was data quality. Errors in facility-level demand figures — implausible quantities, missing entries, inconsistent units — were invisible until they had already flowed into national aggregation. By then, correcting them meant re-opening work that had taken weeks to consolidate, and errors that slipped through distorted what the country planned to procure. Planners spent more time collecting and reconciling data than reasoning about what it meant.
What we built
ForLab+ moved the whole quarterly planning process into one system. Facilities submit demand directly, with validation applied at the point of entry rather than months later in Addis Ababa. Regional teams see submissions as they arrive and can query them in place. The platform's intelligence layer flags what human reviewers at national scale cannot: demand figures that break from a facility's own history, aggregations that diverge from regional patterns, and data quality problems that would previously have surfaced only after procurement. Every forecast keeps a full calculation audit trail, and forecasts are triangulated against independent signals before plans are approved.
What changed
The measurable results, from Opian's implementation evidence: - Approximately 6 billion Birr saved by identifying and correcting data errors in facility-level demand before they entered national planning. - An 8 billion Birr commodity budget gap in essential medicines revealed — visible for the first time because bottom-up demand could be aggregated and trusted. - Roughly 28 billion Birr in national demand now captured through the platform each planning cycle. - A quarterly forecasting cycle institutionalized at national level, replacing ad-hoc collection rounds. Just as important is what the rollout showed about adoption: high uptake was achieved without heavy training, because the system follows the planning process facilities already knew.
"High adoption was achieved without heavy training — by aligning with existing workflows rather than replacing them."