Unilever achieved 260% of its stretch target for consumer conversion in countrywide brand promotion campaigns in 2021 by using Fordo, a precision marketing AI product.
BAT gained 253% improvements in brand campaign execution accuracy in 2021 by using Shobdo, a speech recognition AI product.
bKash gained 76% productivity in serving 525,000 active outlets using Biponon, a retail AI product. bKash has also gained 15% monthly onboarding growth rate while serving 74,000 active merchants by using Nimontron (another retail AI product) that also allows them to complete eKYC in 10 minutes which used to take 2 working days.
IDLC Finance is processing central bank's CIB reports under 30 minutes—which used to take the team three working days—using Dharapat, a FinTech AI product. Soon, the team would also start analyzing 52 banks’ financial statements using AI.
Telenor saved 92.5% cost in completing 25 million consumers' KYC in Myanmar using Borno and Chotur, two document verification AI products.
But how did these teams achieve these remarkable results? Were these straight-froward? How painful were these journeys, what were their learning?
On 1 December, we will open this site to share detailed case studies of these innovative organizations in Bangladesh who are using AI to accelerate organizational priorities, and to navigate critical business challenges.
Taking these learning, you will be able to determine specific high-value use cases for your organization.
And, you will also find guidance on how you can measure the ROI. Because, at the end of the day, this is all a cost-benefit question, isn’t it? :-)