MAM
India wins ICC T20 World Cup 2024: Coca-Cola India and ICC feature made in India recycled PET flag
Mumbai: In the thrilling conclusion of ICC Men’s T20 World Cup 2024 held in the USA and the West Indies where India truly emerged victorious, by winning the prestigious tournament. Coca-Cola India and the ICC once again brought a refreshing difference by combining cricket passion with a commitment to sustainability.
This year’s Men’s T20 World Cup matches featured the ‘Made in India’ National Flags and the Cricket 4 Good Flags, crafted from post-consumer recycled PET bottles. These bottles were transformed into polyester fabric and recycled yarn, made by recycling garbage and plastic bottles. These flags were proudly displayed during the national anthem ceremony at the respective stadiums.
Coca-Cola India first introduced the recycled PET National Flags during the ICC Men’s Cricket World Cup in 2023, becoming the first company in the world to introduce these flags in cricket. Following the impactful, sustainable strides made previously through several green initiatives during the marquee event, Coca-Cola India continues to showcase environmental responsibility by the creation of these National Flags of the participating 20 nations, the largest flags in the world with the size— 35 metres by 20 metres and the nine ICC Cricket 4 Good Flags.
In addition, Thums Up was the official beverage and sports drink partner for the ICC Men’s T20 World Cup 2024. Recently, Coca-Cola has extended its partnership with ICC, committing to serve as a global partner for ICC events until 2031. This renewed collaboration solidifies Coca-Cola’s support for cricket across all three formats, ensuring a lasting sustainable impact on the sport, worldwide.
Approximately 11,000 PET bottles have been transformed into each national flag, and 2,000 bottles into each ICC Cricket 4 Good Flag by Go Rewise by Ganesha Ecoverse Limited and their partner. Even the packaging for these flags is made from recycled material, emphasizing on a holistic approach to sustainability. Also, all these flags are Global Recycled Standard (GRS) certified, meeting international standards for recycled content, social and environmental practices, and chemical restrictions. Further, the use of cutting-edge AI sorting systems has boosted waste segregation efficiency, enhancing resource recovery. Simultaneously, the collection systems have empowered over 50,000 waste workers, including women. A dedicated team of 600 workers was built to bring these magnificent flags to life. Each of these flags produces 60 per cent lesser carbon emissions while saving hundreds of kgs of waste going to landfills and reducing dependency on fossil fuel-based resources.
Coca-Cola India and Southwest Asia (INSWA) senior director-CSR and sustainability Rajesh Ayapilla said, “At Coca-Cola, we’re excited to unite cricket passion with our commitment to sustainability at the ICC Men’s T20 World Cup 2024. These recycled PET flags showcase our dedication to circularity and environmental responsibility. By turning post-consumer plastic bottles into symbols of national pride, we celebrate fans and take a significant step towards a greener future. We believe that the initiative will set a precedent for future events and will continue to inspire a positive change.”
ICC chief commercial officer Anurag Dahiya said, “ICC World Cups have once again proven to be a fantastic platform to showcase the partnership between Coca-Cola India and the ICC, highlighting our shared commitment to cricket and the environment. The ‘Made in India’ recycled PET flags were a powerful initiative of our exciting partnership. Not only did they create a vibrant atmosphere during the national anthem ceremonies, but they also demonstrated how innovation can promote sustainability within cricket.”
Go Rewise founder Yash Sharma said, “Our mission is to wisely recycle every bottle used and disposed off into high-value products and give multiple lives to our resources. As the ICC World Cup fans cheered for their nations, the world saw a combination of India’s sports as well as technological prowess in recycling post-consumer waste and the craft of 100+ artisanal men and women creating a symbol of sustainability and sportsmanship through flags made of recycled PET bottles. We are proud to partner with Coca-Cola to continue their commitment to weave sustainability into sports.”
Through this innovative initiative, Coca-Cola India and the ICC are not just promoting a sustainable future but also inspiring cricket fans to join the movement towards environmental stewardship.
Digital
GUEST COLUMN: How AI is restructuring distributor and retailer motivation models
From incentives to intelligence, AI is redefining how brands engage channel partners
MUMBAI: Artificial intelligence is rapidly transforming how brands engage with their most critical yet often overlooked stakeholders: distributors, retailers, and last-mile influencers. For Abhinav Jain, co-founder and CEO of Almonds Ai, this shift marks a fundamental departure from traditional, transaction-led incentive models toward behaviour-driven, data-intelligent ecosystems. In this piece, Jain examines how AI is enabling brands to decode partner motivations, predict engagement patterns, and deliver personalised, scalable experiences—ultimately redefining channel relationships from transactional exchanges to long-term growth partnerships.
Across many sectors, there is increasing recognition that motivating those who bring products to market (distributors, retailers, last-mile influencers) poses a growing challenge.
Brands continue to invest significant marketing and digital resources to consumers, yet in many countries and the vast majority of emerging economies, these types of consumer-focused investment areas have had little impact on ultimate product delivery. Rather, it is still the case that traditional retail continues to make up most products sold.
So why is it that the systems built around motivating these channels have yet to evolve?
For decades, distributor and retailer engagement revolved around static schemes – quarterly targets, volume-based rewards, and occasional trade promotions. These programs were designed around transactions, not behaviour. The assumption was simple: if incentives increase, performance will follow.
Now, with the advent of artificial intelligence, the definition of performance is being challenged.
With the development of artificial intelligence, businesses can move beyond simply creating loyalty based on transactional-based models and toward models built on behaviours, the behaviours of channel partners that are intrinsic to their motivations in engaging with particular brands. As a result, the means by which businesses develop relationships within their distribution network are starting to evolve; thus, ultimately changing how brands interact with those within their distribution network.
Assessing engagement: Transitioning from transactional- to behavioural intelligence
Traditional loyalty systems refer to transactional activity (sales data). Although this data is valuable and important, it only provides a partial view of engagement across the channel partner.
For example, a retailer may have a high frequency of sales of a product, but their lack of engagement with the manufacturer would not reflect that they have true loyalty toward that brand. Conversely, a retailer who actively participates in training programmes, acts as brand advocates, and is engaged in learning with the supplier would exhibit more profound levels of loyalty but would have been invisible based on historical incentive programmes.
Artificial intelligence allows for the identification of behaviours that help to address this gap. Brands are able to use a variety of engagement data points, participate in learning programs, respond to communications, redeem behaviour and track platform use behaviour in order to identify motivation through behaviour.
McKinsey has stated that companies that leverage advanced analytics for their sales and distribution functions can achieve as much as a 15-20 per cent increase in productivity due to increased awareness of their behavioural trends throughout their networks.
This visibility of behavioural patterns within channel ecosystems can be transformational to brands as they can now view how partners engage on their path to purchasing products, instead of just measuring the sales revenue generated by those purchases.
Predicting motivations, not just measuring performance
Possibly, the largest contribution of Artificial Intelligence (AI) to helping brands engage with partners via channel ecosystems is its ability to predict future engagement versus simply measuring past performance.
Traditionally, brands only realised that a partner was disengaged (not likely to purchase products) once their sales performance had already declined. By then, the brand would have to use significant amounts of incentives or aggressive promotional activities to recovery their partner’s engagement level.
AI models can help organisations to detect early signs that a partner is becoming disengaged, such as declining participation in learning modules, declining interaction via the platform, or slower reward redemption rates. These indicators can help organisations to proactively engage with their partners before their sales performance begins to decline.
The practical application of AI and predictive analytics gives brands the ability to re-engage with their partners prior to their sales performance declines. For example, instead of developing and implementing broad-reaching incentive programs that provide a “one size fits all” incentive to all partners in an ecosystem, brands are able to develop targeted, engaging re-engagement programmes. This is how personalisation can be done on a large scale, such as across global distribution and retail networks.
The vast majority of distributor and retailer channels have thousands, if not millions, of individual channel partners. Historically, providing personalisation to such a large number of businesses has not been feasible.
However, with the advent of AI, personalisation at scale is becoming a reality.
Brands can now create tailored engagement journeys for all their partners, based on their partner profiles, through some combination of machine learning models and behavioural segmentation. For example, high-performing distributors might receive higher levels of leadership-based recognition and greater incentives to continue to grow. Emerging retailers, on the other hand, might be supported with training, onboarding rewards, and measurable performance milestones.
The shift towards personalisation of partner engagement echoes the direction that consumer marketing is already moving towards.
According to Salesforce’s report, over 70 per cent of customers expect personalisation in the way that brands engage with them. As such, there is a growing expectation for B2B ecosystems to have these same types of expectations from their channel partners.
Gamification and continuous engagement
AI is also radically changing how brands will engage with their channel partners through the use of gamification.
Many traditional incentive-based contests and leaderboards would spark temporary engagement among their participants, but they struggled to sustain engagement over time. With the use of AI, gamification mechanics are evolving dynamically based on historical and evolving participation patterns by their channel partners.
Challenges, rewards, and recognition structures can be modified continuously in order to sustain engagement with all of a brand’s partner segments. This will provide a greater opportunity to move away from episodic campaigns towards ongoing, continuous engagement experiences.
When channel partners receive motivation as part of their daily business activities through recognition, learning, and tracking their performance, long-term loyalty will be achieved.
Aligning motivation to broader impact
There is a growing trend within the channel ecosystem to integrate sustainability and socially responsible behaviours into the channel partner programmes of brands.
Increasingly, brands are motivating their partners to use sustainable practices in their operations, participate in sustainable practices like sustainability-related knowledge programmes, or promote products that are in line with their sustainability objectives.
Brands can use AI to monitor and measure these types of behaviours and incorporate them into their incentive frameworks so that brands can align their commercial objectives with broader social and environmental outcomes.
A shift in the way brands view their channel partners
AI is having the most significant impact on the way that brands are now viewing their channel partners, as it relates to the underlying philosophy of those fundamental relationships.
For the past several decades, many brands have viewed their channel partners as intermediaries in the supply chain. More and more brands are now beginning to view their channel partners as key ‘partners-in-growth,’ and their actions can have a direct impact on market performance.
In fact, all the channel ecosystems are using behavioural engagement platforms to design new models that reward not just transactional behaviour, but also create continuous engagement journeys for their partners, where their partners can receive recognition for their participation, learning, and continued engagement, thereby reinforcing long-term loyalty to the brand.
The future: Intelligent channel ecosystems
As we consider what the next phase of channel engagement may look like, many believe that it will be based on intelligent ecosystems, using AI to continuously monitor and adjust the engagement strategies used to engage their channel partners, in real time and based on the behaviours of those partners.
For brands operating in complex distribution networks, the ability to perform well will be determined both by whether products are available to their customers, as well as by the enthusiasm, expertise, and loyalty shown from each channel partner that represents the brand each and every day that they are working on behalf of the brand.
While AI clearly does not eliminate the human aspect of a brand’s relationship with its channel partners, it does allow brands to better understand and nurture that relationship.
In markets where the last mile will determine whether a sale is made, how one leverages the intelligence gained by using AI will ultimately be the difference between gaining a new, sustainable competitive advantage versus losing one.
