Our customer algorithms have been put to the test across many industries and household brands, delivering continuous ROI and a strong competitive advantage.

From preventing churn for a global airline, to intelligent clustering for a leading retailer, to cross and up-selling for a cosmetics giant, to AI-led innovation for an FMCG, we constantly push the barrier.

Our algorithms are ready to deploy with minimal configuration to match your data and infrastructure thus saving you significant time and cost from having to create them internally or via an expensive consultancy, without requiring a team of data scientists or engineers and more importantly with high accuracy.

List is not exhaustive but includes algorithms such as:

• Churn Prevention. Predict a customer’s probability to churn, preventing lost sales.
• Customer Profiling. Cluster customers based on their behaviour and transactions, enabling personalisation.
• Cross-and Up-sell. Identify opportunities to sell additional products & services.
• Next Best Action. Recommend the next best marketing action based on a customer’s profile.
• Personalised CX. Having accurate customer algorithms is the foundation, integrating them with your CRM ecosystem and using them to drive data-driven campaigns is what will deliver the business value.

View the Data-driven CX on how customer analytics can be part of your customer-centric business and sky-rocket customer satisfaction, sales, and retention.

Build an intelligent pricing and promotion strategy and boost profitability and maximise sales.

Pricing along Product and CX is one of the key pillars of a successful business model. As with every other aspect of the business, pricing needs to be flexible to accommodate changes in the competitive landscape, in the market conditions and internal business targets.

A good pricing strategy can lead to double-digit increase in revenues, while a bad one could lead customers to the competition.

Our experts can help you on:

• Product Elasticity. Identify how elastic demand is for different products and across different customer segments.
• Demand Forecasting. Forecast demand/orders under different pricing scenarios.
• A/B Testing - e-commerce. Assess and quantify the ROI of alternative promotions across different customer segments
• Dynamic Pricing. Dynamic Pricing. Whether it’s competitor-, inventory-, time-, demand-, penetration-based, or all of the above, our experts can design and build it following best cloud practices.

From asset tracking, to maintenance, to performance optimisation, to a simple lamp going on and off, IoT is increasingly becoming part of our everyday life.

In business too, our experts have been helping clients to realise unprecedented possibilities by combining IoT and AI. Whether it’s to improve customer experience, reduce operational costs, increase asset utilisation, improve safety and perform real-time analytics, we have been embedding IoT in our clients’ day-to-day, unlocking real business value.

• Design. Design a scalable, cost-efficient and best practice IoT and AI capability in the cloud.
• Build. Build a cloud-based IoT and AI capability including real-time analytics, alerts and notifications, forecasting, asset tracking and optimisation, reporting and so on.

We are experts on the leading tech platforms. Gold Microsoft Data and Analytics Partner, Gold Microsoft Cloud Platform Partner, AWS Select Partner, Salesforce Partner.

Gain immediate business value and de-risk a big future implementation with our Proof of Value (PoV) package.

We call it a PoV, as opposed to a Proof of Concept (POC), as the aim is to deliver tangible business value, even in a short timeframe.

PoV duration is normally between 4 to 8 weeks maximum and it serves as a de-risking exercise whereby you invest a small budget and get swift results that can help build an internal business case for a bigger investment in IoT and provide the foundation for a longer-term project. It’s also a test of chemistry.

Being certified partners with leading tech vendors we are also eligible for sponsored PoVs.

Our Operational Researchers can build mathematical models to address the most complex needs.

Optimise the allocation and supply of your resources (people & machines) to meet changes in demand, maximise utilisation and minimise cost.

Our solutions include simulating your processes and operations and identifying areas for improvement and optimisation. As well as performing what-if and sensitivity analysis across key levers, allowing you to play out the impact of operational changes before they happen.

Engage with our experts and choose from a host of dedicated supply chain ready-made solutions to optimise warehouse and logistics operations and save costs and manual effort.

Digital Twin & What-if Analysis. Digital exact replica (clone) of the warehouse operations and logistic processes mirroring real operational ecosystem, used to automatically:

• Optimize capacity and staffing level
• Increase Throughput
• Decrease Lead Time
• Lower Operating Cost

Inventory Wizard. Application optimising and rebalancing inventory across diffent locations and warehouses.

• Multiple Inventory data from multiple data sources consolidated into one single Inventory Data repository
• Pre-defined, custom reporting views
• Daily automatic feeding of data from all inventory data sources
• Advanced “inventory rebalancing” algorithm to identify inventory amounts for possible relocation vs new supply

Data-driven Supply Chain. Build a cloud-based Enterprise Data Platform which covers all regional and global supply chain needs.

• Assess and map out current skills and gaps, technologies used, reporting needs and data sources, through dedicated tools
• Design a supply chain EDP architecture and roadmap complete with CapEx/OpEX costs
• Structure and define the necessary data governance framework
• Build or support your internal teams to implement the EDP following best practices