The Challenge
A team of entrepreneurs had a great idea for a food business but struggled with planning, market research, and meeting deadlines. They needed a clear strategy to turn their idea into reality, but without a structured approach, the start-up risked failing before it even launched.
Our Solution
We combined structured planning with automation and data analysis to make decision-making easier and more effective:
✅ Created a step-by-step business plan with clear goals and timelines
✅ Used data to understand customer demand and food trends
✅ Analysed competitors to set the right pricing and market strategy
✅ Automated project tracking to keep everything on schedule
By setting up simple dashboards and automated reports, the team could see real-time insights on the market and adjust their approach as needed.
The Outcome
📌 The business launched successfully within 6 months.
📌 They secured initial funding to support growth.
📌 Within the first year, they captured 5% of the market and built a loyal customer base.
The Challenge
A leading marketing communications firm noticed that customer engagement with their campaigns was dropping. Their traditional strategies were no longer capturing attention, and they needed a fresh approach to reconnect with their audience.
Our Solution
We used data analysis to understand who their customers were and what content resonated with them. This allowed us to:
✅ Identify key customer segments and their preferences
✅ Redesign campaigns to be more personalised and interactive
✅ Align marketing with current trends to stay relevant
✅ Automate audience insights for better decision-making
By tailoring messages to what customers actually wanted, engagement naturally increased.
The Outcome
📌 Engagement rates jumped by 40%.
📌 Campaigns had better reach and interaction.
📌 Conversions increased by 20%, boosting both revenue and brand visibility.
The Challenge
A company that advises schools was struggling to move its services online. They were falling behind competitors and didn’t have a clear way to track how well students were performing. Without data, it was difficult to give the right advice to schools.
Our Solution
We helped the company use technology and data to improve its services:
✅ Reviewed old data to find areas that needed improvement
✅ Set up new software to track student progress automatically
✅ Trained the team to use data to offer better advice to schools
✅ Moved services online, making it easier for schools to get help
By making smarter use of data and technology, the company could offer better support to schools while staying ahead of competitors.
The Outcome
📌 30% more clients started using their services.
📌 Schools saw 25% improvement in student performance.
📌 The company cut costs by 20%, making them one of the top names in school consulting.
The Challenge
A restaurant chain was struggling with food shortages and excess stock, leading to wasted food and lost sales. Some days, they ran out of popular dishes, disappointing customers. Other times, they ordered too much food, which ended up going to waste.
Our Solution
We built a real-time system to track food stock, sales, and deliveries. Using historical sales data and seasonal trends, we introduced predictive analytics to:
✅ Monitor stock levels in real time to prevent over-ordering
✅ Predict demand based on past sales, holidays, and seasonal trends
✅ Automatically suggest order quantities to keep supply balanced
✅ Ensure popular dishes were always available
By automating stock tracking and using smart forecasting, the restaurant chain could reduce waste and meet customer demand more effectively.
The Outcome
📌 40% less food waste, saving money and reducing environmental impact.
📌 Happier customers, as their favourite meals were always available.
📌 15% cost savings, thanks to smarter purchasing and reduced waste.