How AI and Agile Analytics Are Driving Smarter Business Decisions

How Three Ships Uses AI to Drive Sales Growth

In January, Three Ships, a clean beauty brand based in Toronto, noticed a sharp rise in domestic sales through their AI-powered performance dashboard. The increase tied directly to their Canadian identity. Acting fast, they updated their marketing channels to emphasize their made-in-Canada positioning.

The result? A 477% jump in conversions linked to that messaging. Connie Lo, co-founder of Three Ships, highlights their approach: “We track our KPIs daily, so when market shifts or performance changes occur, we can quickly diagnose and respond.”

Since launching in 2017, Three Ships has grown its e-commerce footprint and secured partnerships with retailers like Whole Foods and Credo. The company expects revenues between $16 million and $20 million by 2025. AI plays a key role, helping synthesize data, guide creative advertising, and build custom dashboards without heavy coding.

With AI, Three Ships can instantly see how many customer touchpoints lead to a purchase, enabling smarter sales strategies.

Agile Analytics and AI: Essential Tools for Sales Success

In a market that changes quickly, businesses lean on agile analytics and AI to make faster, smarter decisions—especially in marketing. Traditional methods like mixed media modelling and consumer research take too long to deliver actionable insights.

Winston Li, founder of Arima, a Toronto-based consumer insights platform, explains the limitation: “It takes six months to deliver a six-month forecast, which often becomes outdated.” Arima’s models update weekly or monthly, giving sales and marketing teams real-time data to adjust strategies on the fly.

For sales professionals, this means greater confidence in where to invest campaign budgets and when to pivot.

Leadership in Technology Supports Sales Growth

Bernadette Osmow, president and CMO of Osmow’s Shawarma, stresses that business leaders must also be technology leaders. Starting from a single sub shop, Osmow’s has expanded to 203 restaurants. Their early adoption of digital menus and POS systems helped them scale efficiently.

Now, they use AI-powered fraud detection to cut down false delivery claims, saving costs and protecting revenue. Osmow adds that AI isn’t about replacing staff but improving their efficiency. “We ask, ‘What takes the longest? What’s your pain point?’ Then we apply AI to those tasks.”

AI Enhances Fraud Detection and Future-Proofs Payment Security

At Interac, the Canadian payments provider, AI boosts digital threat detection. Palash Thakur, head of data analytics and fraud operations, says the industry demands real-time insights to catch fraud patterns instantly and predict attacks before they happen.

Generative AI combined with analytics helps Interac shift from reacting to fraud reports toward anticipating client needs in a changing financial environment.

Why Sales Teams Should Care About AI and Analytics

• Faster decision-making: Access to real-time data enables quicker responses to market changes.
• Improved targeting: AI helps identify which messages resonate best with customers.
• Better resource allocation: Agile analytics show where marketing dollars have the biggest impact.
• Efficiency gains: AI automates routine tasks, letting sales teams focus on building relationships.

For sales professionals looking to stay ahead, learning how to leverage AI and analytics is no longer optional. Training in these areas can provide a practical edge. Explore relevant AI courses for sales roles at Complete AI Training.