AI is turbo-charging Consumer Packaged Goods

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Consumer Packaged Goods

Helping Consumer Packaged Goods (CPG) companies turbo charge their Supply Chains with AI
Our customers include companies in the food, beverages, personal and household care, consumer durables, luxury goods, apparel, sports and recreational products. They have become true partners for retailers, managing key accounts more effectively than ever than before by using data for visibility, predicting demand, trends etc. and sharing insights with their retail partners thus turning their supply chains into a competitive weapon.
Let us help you help yourself simplify, speed up and slim down operating models to maximize the effectiveness and Agility your organisations

0of executives say they won’t achieve their growth objectives without scaling AI.0of executives believe they risk going out of business in 5 years if they don’t scale AI.

Consumer Packaged Goods

Established consumer packaged goods (CPG) brands are fighting to stay relevant, retain their share of wallet, contain costs whist maintaining their competitiveness against rivalry from smaller, aggressive, nimble, low cost disruptors. These competitors use some of the best tools and Social Selling techniques available to drive their products to market. Well establish brands in the CPG space are also faced with having to protect their brands against counterfeit goods, fraud, and other risks.

Data Technology can help you transform your CPG business to help you combat these risks and win by leveraging your most valuable data assets using Enterprise AI.

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Challenge 1

Solution 1

Consumer Engagement

Consumer Enagement

Today’s consumers have zero tolerance for issues, want to be able to purchase on demand and instantly, they are more mobile than ever, and speed and accuracy are essential. They are also more likely to view health, wellness, and fitness as top spending priorities than in previous years. CPG brands need to adapt to these trends in order to positively engage with and influence consumer buying decisions.

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Achieve marketing ROI: across digital and traditional channels
Improve customer satisfaction: using surveys and reviews to gauge sentiment for the entire consumer base
Predict next purchase: based on previous order history and customer segmentation
Anticipate next customer: CRM stage (e.g. activation, regular, high value, decliner, dormant, churn) to determine the strategy of future marketing comms
Hyper-personalise and identify: the most effective products to present to each individual customer based on historical data

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Challenge 2

Solution 2

Product Assortment & Supply

The leaders in the CPG industry must use AI to predict the range of products on-shelf, their optimal price points, and sales of new products entering the market and the effect of the disruptive competitors in the market. In addition, Data Technology helps CPG customers’ to deploy AI-driven Demand Forecasting which informs manufacturing and shipping levels required to fulfil customer demand – by store, date, and SKU.

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Predict sales of product: innovation and new product launches before they reach the market through AI-based forecasting
Minimise over-production: and out-of-stock scenarios using a range of historic data sources “reverse supply chain” by predicting the probability of return for every item purchased across multiple channels
Improve on-shelf availability: by each individual SKU and store and drive corrective action before an issue arises
Use Price Optimisation and elasticity: to identify optimal price points influenced by multiple factors such as item, brand, category, and more

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Challenge 3

Solution 3

Operational Efficiencies

Data Technology’s CPG companies are adopting AI to better identify opportunities to decrease costs while increasing their operational efficiencies to ensure a frictionless customer experience.
One of the biggest challenges the CPG industry faces is determining how much product inventory — and the types of products your company need to in order to meet consumer expectations. Data Technology can help you deploy Automated machine learning to help your business improve your ability to predict consumer demand for goods.

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Predict staffing levels: for customer service and distribution centres as demand changes
Identify and negotiate: with the most cost-effective manufacturing and delivery partners
Improve employee retention: with AI-based HR analytics
Enhance predictions of delivery times: for improved operational efficiencies
Identify metrics: for mutually beneficial partnerships across the supply chain that are individualised to each retail banner and geography

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All use cases underpin increasing revenue, reducing costs and delivering excellent customer service

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Chief Data Officers

Increase the productivity of your data science team.
With Automated Machine Learning, you can get the productivity of a large data science team from a small one. Let Data Technology’s platform find the best models for you and use help you with simple deployment options to get them to market faster. Relieve data scientists from documentary requirements by using our automated model risk management and model validation templates

Business and Function Heads

Leverage AI and machine learning even if you do not have deep data science talent
Tap into the deep expertise in your data and your CPG Domain Expertise that your company has. Enable business analysts and data analysts without formal data science training to build and use sophisticated models, Data Technology can help you truly democratise Data Science and put it the hand of teams who are making the decisions in a governed framework

Chief Technology Officers

Bring AI and machine learning-based solutions to market faster.
Get models to production faster using Data Technology’s low-risk model deployment options, including code generation, deployment to Spark, and API-based deployment capability.

Chief Data Scientists

Annihilate your backlog of analytics requests.
Let Data Technology’s Platform suggest the best model in each situation, saving you the time and effort of trying and comparing every model. Use Automated Machine Learning to build many models at the same time it took to build one, increasing precision with more model granularity. Let us handle the low-risk models from start to finish so you can focus your talent where the payoff (or the risk) is the greatest.

Chief Information Officers

Monetise your investments in data infrastructure.
The bottleneck in many CPG companies is no longer a lack of data, it’s probably too much data but not enough analytics talent and skills to turn that data into insight. Democratise data science with our team, tools and skills and watch the performance of your business take off as the data reveals opportunities and improvements.

Chief Marketing Officers

Hyper-personalise your offers direct to consumers.
Research has shown that brands adopting the technology and strategies to enable personalised digital experience will gain competitive advantage. They will find it easier to acquire customers with appealing and engaging digital experiences, enable faster conversions and create lasting engagement and loyalty.

AI Success Stories

01 / 03
“The biggest impact is that we are now making warehousing decisions in an informed and precise way”
– Senior Business Development Manager
02 / 03
“We want to understand our customers to drive better customer experiences, make their lives easier or give them an overall better customer experience. We do this at 84.51 by making the AI platform available to all of our 200 Data Scientists”
– Head of Enable The Science
03 / 03
“The AI platform allows our data team to efficiently determine and use the best machine learning model for any supply chain problem”
– VP of Advanced Analytics & Data Engineering