Supply chains need solutions customized to context and user needs. inSupply’s multidisciplinary team of pharmacists, human-centered and instructional design specialists, measurement and learning experts, data analysts and supply chain experts use our proven process and strong understanding of context to co-create pioneering solutions to suit our client needs and address current and future challenges.
Supply chains must be resilient, responsive and equitable.
Forecasting & Quantification
inSupply Health brings best in class practice to forecasting and quantification (F&Q) of health commodities. We help organizations plan for and implement F&Q using robust methods and tools and provide training for staff. inSupply’s process factors in data limitations as well as potential risks and future scenarios. Our outputs lend themselves to routine supply planning, refreshing of data and assumptions, advocacy for funding or procurement needs and gaps, and the training ensures users are focused on actions to enable effective inventory management and consistent supplies of commodities.
Forecasting Use Cases
Turkana County Quantification and Forecasting
Nigeria: DMPA-SC Quantification Report
Nandi County Reproductive Health Quantification Documentation for 2017-2020
System design & implementation
inSupply Health combines JSI’s proven system design methodology with our design thinking approach to co-create and deploy systems and tools adapted for the context and users and that are practical and can be implemented with minimal training. Our implementation approach promotes ownership, scale and sustainability. inSupply Health has helped build digital workforce skills for more than 1,000 healthcare workers who use supply chain information systems in Kenya and Tanzania.
System Design Use Cases
Piloting cStock in Siaya county: Endline Evaluation Report
Making Data Useful: The VIMS Story in Tanzania
Maturity Assessment & Strategy
At inSupply Health we believe in fully understanding the problem before proposing solutions. We assess systems using a variety of tools such as the Supply Chain Compass or ASCM’s Maturity Model tool, both of which identify weak links in the supply chain. We use design thinking to co-create affordable, feasible and practical strategies for supply chain improvement, with a focus on data-driven supply chains and continuous quality improvement to help teams achieve results.
Maturity Asessment Use Cases
Maturity Model Training and assessment: Mombasa County
Maturity Model Training Report
inSupply’s deep understanding of context, in country networks and relationships are an asset for new product introductions or organizations looking to expand into public health in Kenya or Tanzania. We develop custom strategies for introducing new interventions or products, ensuring these are connected to appropriate decision makers and stakeholders for success. We also share market insights, foster connections with appropriate stakeholders and conduct modeling or share data to inform our clients decisions on market entry.
Market Entry Use Cases
Tanzania supply chains and UAVs
A Public Private Partnership to facilitate E-Commerce Rural Expansion while promoting Community Health Volunteer Sustainability
Deliver the Future Phase 2 Preparation
Monitoring, Learning, Evaluation
inSupply specializes in developing theories of change and theories of action, designing and implementing MLE strategies, visualizing data and creating dashboards and decision support tools, undertaking routine program monitoring, implementation research, and impact evaluations of projects or interventions. We utilize these approaches to measure and document progress toward meeting our project outcomes and to measure impact. We use data to report to our partners and funders and to support monitoring and continuous learning and iteration to maximize health and supply chain outcomes.
MLE Use Cases
Strategies to strengthen
community health provision
through CHVs in the ASAL (Developmental Evaluation Wave 2)
Supply Chain Data Use Theory of Change and Theory of Action
Understanding the Barriers to Successful Implementation of CBD in the ASAL Regions (Developmental Evaluation Wave 3)