Geo-tagged census of outlets, fused with satellite imagery, consumer demographics, SEC, interests and footfall, refreshed continuously.
Revenue uplift achieved with previous clients, across commercial RGM and sales execution.
Planning, memory and constraint reasoning for commercial agents.
ApplyShelf, cooler and POSM recognition from millions of field photos.
ApplyBuilt-up area, population density and socio-economic class from imagery.
ApplyElasticities, MMM, promotion incrementality and scenario simulation.
ApplyPipelines and infrastructure that keep a 27M-outlet graph fresh.
ApplyTurn models into wins with FMCG commercial teams on the ground.
ApplyResults delivered for global FMCG brands, from the US and Europe to the world's hardest-to-read emerging markets.
markets where aiSight's outlet census is live, from Riyadh baqalas and Lagos kiosks to Jakarta warungs and Karachi kiryanas: the traditional trade that other data providers can't see.
Computer scientist and technology entrepreneur. Former research scientist at MIT CSAIL and Pakistan's former Federal Minister for IT.
A retail measurement leader who joined Nielsen in 1999 and rose to become President of International Markets at NielsenIQ. Previously, he led the company’s largest business unit, overseeing retail measurement across global CPG markets. Earlier in his career, he worked at McKinsey & Company and Procter & Gamble. He is based in Geneva.
Two decades in market research, building and leading high-performing teams across Retail Measurement, Consumer Insights and Data Science, and translating complex data into growth strategy for clients.
Software architect and engineering leader with 18+ years building data, cloud and AI platforms, previously leading architecture, data science and information security for a SaaS product and designing a mobility platform.
Backed byBill & Melinda Gates Foundation — first Pakistani startup to receive direct investment
ForbesHow aiSight helped the world's biggest consumer companies find their way in emerging markets
Business InsideraiSight.ai joins NielsenIQ Partner Network to unveil the recipe for market share growth for CPG clients
ProPakistaniPakistani AI startup becomes NielsenIQ's global partner
News DirectData analytics start-up aiSight.ai launches in Africa with FMCG giants
International FinanceStart-up of the Week: aiSight.ai disrupting the FMCG sector with a heavy pinch of technology
The NewsFirst Pakistani startup to receive investment directly from the Bill & Melinda Gates Foundation
ProfitAs Nielsen's dominance wanes, SurveyAuto puts its disruptive tech to workTell us a little about your business and we'll walk you through aiSight on your own market data.
United States
United Kingdom
Saudi Arabia
Pakistan
SurveyAuto has developed an Integrated Disease Surveillance and Response System (IDSRS) for infectious pandemics like Covid-19. This platform is designed to pinpoint hotspots of the Coronavirus disease, enabling the government to only seal selective areas rather than locking down the whole country, which would otherwise severely hamper economic activity.
The science behind Pakistan's smart lockdown strategy is highlighted in the following article:
Geo TV Smart Lock Down in Pakistan
For further information about SurveyAuto, contact us at info@aiSight.ai
SurveyAuto is an advanced data collection platform that democratizes data collection by making it accessible to everyone. The platform combines recent advances in Artificial Intelligence (machine learning) with smartphone applications to collect high-quality data. SurveyAuto uses machine learning on satellite imagery to accurately identify survey targets, monitors enumerators in real-time using our smartphone applications, and uses speech and image analysis to automatically analyze the quality of collected data.
This year (2019), ASER is using the SurveyAuto platform to collect data digitally in 9 districts across Pakistan using 540 enumerators.
Machine learning on satellite imagery was used to determine the household sample. Using built-up area algorithms, the system automatically dropped pins on the selected households which were later visited by the enumerators. With SurveyAuto, ASER has largely benefitted in reducing costs like printing, logistics, and data entry.
The Annual Status of Education Report (ASER 2019) is the largest household-based education survey in Pakistan. Each year 600 households are surveyed per district in 158 districts across Pakistan. ASER engages with civil society and semi-autonomous partners, mobilizing 10,000 citizen volunteers annually to collect data on the education level of children aged between 3-16 years.
The collection of field data is time-consuming, costly, and error-prone. Hundreds of millions of dollars are spent to mobilize and manage remote teams to conduct surveys, record observations, and compile data. Typical household surveys require careful identification of target communities and households, plus in-person interviews. Such intensive data collection is done through large survey companies using hundreds of enumerators and millions of dollars.
SurveyAuto minimizes the cost and time spent on collecting such data, while at the same time, improving the quality of this data by using machine learning on satellite imagery and a smartphone application.
Since April 2019, SurveyAuto has been working with Idaara-e-Taleem-o-Agahi (ITA) to digitize survey responses for Advancing Action for Adolescent Girls. Three surveys have been digitized:
So far, a total of 40,000 surveys including household surveys, beneficiary surveys, and LSBE surveys have been conducted through the SurveyAuto platform.
The surveys conducted through the app have proved very effective, as it has reduced the time of data collection and entry by a factor of 10.
SurveyAuto completed a pilot-phase project with the World Bank in May-June 2019. The survey collected information on the price and availability of 15 different commodities in 4 cities of South Punjab and Balochistan along the western route of China–Pakistan Economic Corridor (CPEC).
Four hundred (400) wholesale and retail shops were geo-tagged through SurveyAuto's AI-based platform. Market data of the substitute products was also collected from the shops visited by the enumerators.
An end-to-end implementation of this project was undertaken by SurveyAuto. SurveyAuto crowdsourced 20 enumerators; who were trained and deployed with the SurveyAuto smartphone application. The questionnaire on the app was in Urdu and each survey had approximately 100 questions.
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