(i) Case Study 1: Webpack from Eswatini:
A Case Study of Webpack Al in Eswatini
Webpack, a startup based in Eswatini, developed an innovative solution to streamline e-commerce payment verification processes. Their product leverages Machine Learning, Deep Learning, Computer Vision, Natural Language processing and Generative Al to automate payment approvals based on proof of payment documants uploaded by users during their orders.
Status
Main Product Description It automates the verification of proof of payment documents, extracting key information like reference numbers, amounts, dates, and cross-referencing them with order costs to approve or decline payments.
Target Sectors E-commerce and Customer service
In-House Skills Has AI skills in- house
Funding The startup has received a grant and raised over 135,000 Rands from UNDP
Growth The investment has allowed Webpack to expand its team
and further develop AI capabilities
Challenges
Opportunities
Infrastructure: Eswatini’s limited Al infrastructure poses challenges for development and deployment. High internet costs hinder the widespread adoption of Al solutions. Market Limitations: A limited market for Al applications presents challenges for scability.
Sector Potential: Banking and Healtheare sectors offer significant opportunities for Al-driven transformation.
AL API Integration: APIs can revolutionize online loan applications and healthcare results turnaround times. Education and Policies: Increased education on Al and the development of ethical policies can foster trust and adoption of Al technologies in Africa.
Data Access: Webapack faces challenges in accessing digital versions of low-resource languages and lacks adequate data for building and referencing Al models.
Support Needed Investor Access: Facilitate entry into investor spaces to secure additional funding.
Cloud Computing: Support in cloud infrastructure can enhance scalability and perfomance.
33
Made with FlippingBook - Online Brochure Maker