Using scripted data capture to generate company logos for start-ups and similar smaller players. Typically married to support from human graphic designers.

Predict local or regional sales and demand trends using up to date (with the ambition being real-time) data

Analyse business indicators to forecast likely demand ranges for products and / or services.

Automated generation of market research questions and deployment across digital channels, Capture and visualisation of responses.

Classify visual information from in-store video to collect data on product placement, consumer response and activity and other key data points for use in market research

Use Natural Langugage Processing to analyse text fields in surveys and reviews to generate insights in to customer views, responses and sentiment.

Predict and promote the next appropriate offer for a customer to maximise chance of driving desired behaviour (e.g. sales, click-through, retention offer acceptance etc).

Customer response to warranties generates a lot of data that can be mined to predict potential specific quality issues and to predict risk across the product portfolio.

Product layout in stores can be optimised to improve sales yield, customer satisfaction and operational effectiveness.

Determine the optimum product and service mix for maximising LTV and reducing churn. Determine optimum packaging of products.

Analysing the basket of products that consumers purchase - typically in one go but also on a broader timeline - provides ample data to enable predictions on potential cross-selling and repeat purchases.

Predict cannibalisation risk to support overall market proposition - thus ensuring that product management is better positioned to optimise yield and revenue capture.

Monitoring and predicting shrinkage enables retailers and consumer product companies to crack down on potential value loss.

Inventory Management - helping company calculate how many units are required where and when. This is precisely the sort of complex, data-rich, prediction-heavy closed loop where AI can potentially excel if the data tracking is accurate - so long as the unexpected does not intervene.

Evaluate and advise the most appropriate product and supplier to meet consumer need (e.g. mortgages). This should improve consumer outcomes.

Based on customer's media interests and viewing history, automate the creation of the media image (e.g. from a movie) that is most likely to drive click-through to the media product - although the technique has wider uses in optimising the purchase funnel in ecommerce.

Provide valuations of second hand products. Typically this will be based on market prices being applied to individual products offered for sale. Absent specific sample details prices these may be a base for negotiation rather than a fixed price (e.g. in second hand vehicles).

Forecast demand to ensure product and service availability to limit out of stock or over stock situations for new product introductions.

Combine product information from disparate sources, structuring the information centrally for internal use to improve product discoverability and supplement decision-making.

Product rationalisation or retirement determines which products to divest or retire, and when, based on that product's impact on customer value and inter-related profitability of other products (market basket analysis).

Brand and category management analysis determines optimal pricing, packaging, placement, and promotional variables of individual brands and products within brands to drive overall brand and category revenues, profitability, and market share.

Analyse credit worthiness of under-banked individuals to provide banking services. Typically this involves understanding and monitoring behavioural patterns.

Determine optimum prices especially for perishable items.

Streamline insurance application processes - examples would include pre-populating forms or automatically linking with relevant information sources (e.g. public registers etc).