A key problem that is currently seen in the warehousing and logistics industries is that there is a lack of standardisation across the many different players, with each warehousing firm and delivery company using different software to manage their operations. Currently there is no or limited compatibility between these different software solutions. However, a common feature of all these software solutions is that they usually generate an automated email to the receiver once goods have been dispatched, including an estimated delivery date. However, the task of reviewing and scheduling these incoming deliveries by the receiver is a manual task. The aim of this project is to reduce the administrative burden of the manual review and data entry of when deliveries are expected to arrive at warehouses. Knowing when deliveries are going to arrive is critical in ensuring warehouses and logistics businesses run at peak efficiencies. Unexpected deliveries are not only inconvenient but have a direct impact on schedules which can result in reduced productivity as well as reduced customer satisfaction as these often result in delays. This project aims to overcome this lack of standardisation by using AI to read and interpret these dispatch emails then automatically create a schedule. If this project is successful, it will lead to the possibility of reducing operational costs (e.g. fines) and improving productivity by significantly reducing the probability of unexpected goods arriving.

There is a significant administrative burden of dealing with school and after school club communications which are frequent and often short notice requiring daily check-ins. Our user research indicates this is a widespread problem; parents find it both time consuming and stressful as they don't want their child(ren) to miss out, such as unable to participate in swimming, missing a trip or the embarrassment of turning up in uniform on a non-uniform day. Further, in a survey we undertook of c.65 mums, only 7% reported that their partner helped with managing school and club communications demonstrating this mental load generally falls on the female carer and is a contributing factor to inequality in the home. We are therefore developing an app to make families' lives easier by automatically transcribing dates and information sent by schools and clubs through various digital and analogue communications. For events and deadlines, we are automatically adding these to the appropriate family member's diary, based on their availability and preferences rather than relying on the LLM to choose based solely on its training. General information is also summarised with our algorithms learning the personal preferences of each user through user engagement and feedback. In an existing project, we have already received very promising user research and AI algorithm trials. This project therefore focuses on: * The requirements and potential architectural designs for rapid scaling; * Seamless integration with organisational tools commonly used by families; * Feasibility research for inclusion of meal planning, further reducing the mental load; * Gain a better understanding of any new requirements for a newly identified user group: adults with learning disabilities and their carers and how this will impact the modular design of our app. To access potential users with learning disabilities and their carers/families, we will be working with the Minstead Trust, a charity that provides a range of different services to support people with learning disabilities to be able to live the life they choose. The key innovation in our proposed app is that we are moving the administrative burden and mental load of family management to our AI, _Kiki_, ultimately improving equality within the home.

There is a significant administrative burden of dealing with school/nursery communications which are frequent and often short notice requiring daily check-ins. Our user research indicates this is a widespread problem; parents find it both time consuming and stressful as they don't want their child(ren) to miss out. Examples that have been given by parents are turning up in uniform on a non-uniform day creating great embarrassment for the child, missing a trip form so their child is unable to go, forgetting their swim kit so the child can't participate in swimming lessons, and more. Schools/nurseries use multiple forms of communication such as emails, PDF newsletters, texts, websites and apps. This requires (mostly) mums to have additional mental load and act as an unpaid administrator to combine and share these events with other family members, resolving conflicts as they occur. This workload then multiplies if they have kids at multiple schools creating significant administrative and mental burdens. Then if you also consider neurodivergent parents, managing this administrative burden becomes even more difficult and stressful. We undertook a survey of c.65 mums who are actively trying to "bridge the gap" with their partner, yet only 7% reported that their partner helped with managing school communications compared to 30% doing cooking and/or housework daily \[[EIGE's Gender Equality Index][0]\]. Over 25% of these mums reported that they found it overwhelming with just 15% reporting they found school communications a breeze to deal with. Additionally \>90% of parents admitted they have forgotten a school event, leading to a child missing out alongside parental stress and guilt. It can therefore be inferred that these school communications are having a direct negative impact on parental wellbeing. We aim to reduce this. Our proposed app, _Kiki_, will use AI to alleviate this administrative burden giving parents a way to automatically collate all school/nursery communications into a single shared space with the things most relevant to them highlighted and added to a family calendar. [0]: https://eige.europa.eu/publications-resources/toolkits-guides/gender-equality-index-2021-report/gender-differences-household-chores