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  • Survey

    This survey is an assessment of your company's Supply Chain (SC) Digital Readiness.

    The survey has three parts. Part A is a series of statements on demographics, business value, and technologies. Part B is a list of nine dimensions of the SC Digital Readiness.

    Moving forward Part B is an assessment of the Supply Chain Digital Readiness. This is based on nine key topics as follows: Strategic Planning (SP), Assortment (A), Promotion, Markdown and Price (PMP), Omni-channel (OC), Demand Planning & Forecasting (DP&F), Replenishment Planning (RP), Warehouse Management (WM), Network Design (ND), Transport Planning & Optimisation (TP&O).

    Each part comprises a set of questions, each of which is followed by four statements from which you should choose the one that most accurately reflects the current situation in your organisation and your 5-year ambition. If the question is beyond your knowledge, please choose the "Subject not relevant" or "Don't know".

    This survey will take approximately 10 minutes to complete.

  • If you have already registered and taken the survey and would like to take it again, please login. Be aware that the logins for the retail and manufacturing survey are different.

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  • Part A - Introduction - Demographics

  • To organise your discovery call please enter your name and email address.

  • This is used to generate an account for your results so you can login and check them at any time. If you already have an account, you must login to submit another survey.
    Strength indicator

  • Company information

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    Providing customers with reliable products or services at competitive prices, delivered with minimal disruption or inconvenience
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    Providing products that continually re-define the "state-of-art".
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    Selling to the customer a total solution, not just a product or a service.

  • Part B - Long-term perspective

  • Part C is based on nine key topics as follows: Strategic Planning (SP), Assortment (A), Promotion, Markdown and Price (PMP), Omni-channel (OC), Demand Planning & Forecasting (DP&F), Replenishment Planning (RP), Warehouse Management (WM), Network Design (ND), Transport Planning & Optimisation (TP&O)

    Each part comprises a set of questions, each of which is followed by four statements from which you should choose the one that most accurately reflects the current situation in your organisation and your 5-year ambition. If the question is beyond your knowledge, please choose the "Subject not relevant" or "Don't know".

    To record your current readiness click on the current readiness tab. Record your readiness by clicking on the table cell.

    To record your ambition click on the 5 yr ambition tab. Record your readiness by clicking on the table cells below.

    The active tab is blue.

     
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    Assortment

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    Demand Planning and Forecasting

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    Promotion, Markdown and Price

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    Network Design

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    Replenishment Planning

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    Strategic Planning

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    Omni-channel

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    Transport Planning & Optimisation

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    Warehouse Management

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    Assortment (A)

    • Current readiness
    • 5 year ambition

    Select your current company readiness for each of the sub-dimensions below.

    Readiness level Level 1
    Visibility    		 Level 2
    Predictive    		 Level 3
    Prescriptive    		 Level 4
    Self-learning Autonomous    		 Don't Know Not Relevant
    How often do you re-plan Assortments and what Space Planning processes are followed? Assortments planned annually or bi-annually without space planning Regular and appropriate planning cycle based on last year, with some unplanned changes Regular and appropriate planning cycle, with alerts if business conditions change. Space elasticity is used to evaluate optimum space Machine-learning continual optimisation based on customer and competitor insights along with space optimisation relied on space elasticity and trends Don't know Not relevant
    Do you create customer-driven Assortments? Assortments planned by grade based on sales or space Stores are grouped based on customer and assortments assigned manually Planning tools ensure assortments targeted for the right store cluster Machine-learning cluster tools target assortments to each store based on customer demographics Don't know Not relevant
    What type of technology do you use to support your Assortment and Space Planning processes? Assortment and space planned in Excel or similar tool Use analytical tools combined with advanced BI Leverage external technologies such as insights and analytics Machine learning algorithms drive optimised assortment and space Don't know Not relevant
    What type of reporting and analytics are used to support the Assortment and Space Planning processes? Supported by spreadsheets as required Analytics tools used for reporting against pre-defined scenarios and parameters Advanced analytics tools, with real-time alerts and recommendations to make changes in policy for individual products Autonomous adjustment within defined parameters, with real-time escalation where required Don't know Not relevant

    Select your 5 year ambition for readiness for each of the sub-dimensions below.

    Readiness level Level 1
    Visibility    		 Level 2
    Predictive    		 Level 3
    Prescriptive    		 Level 4
    Self-learning Autonomous    		 Don't Know Not Relevant
    How often do you re-plan Assortments and what Space Planning processes are followed? Assortments planned annually or bi-annually without space planning Regular and appropriate planning cycle based on last year, with some unplanned changes Regular and appropriate planning cycle, with alerts if business conditions change. Space elasticity is used to evaluate optimum space Machine-learning continual optimisation based on customer and competitor insights along with space optimisation relied on space elasticity and trends Don't know Not relevant
    Do you create customer-driven Assortments? Assortments planned by grade based on sales or space Stores are grouped based on customer and assortments assigned manually Planning tools ensure assortments targeted for the right store cluster Machine-learning cluster tools target assortments to each store based on customer demographics Don't know Not relevant
    What type of technology do you use to support your Assortment and Space Planning processes? Assortment and space planned in Excel or similar tool Use analytical tools combined with advanced BI Leverage external technologies such as insights and analytics Machine learning algorithms drive optimised assortment and space Don't know Not relevant
    What type of reporting and analytics are used to support the Assortment and Space Planning processes? Supported by spreadsheets as required Analytics tools used for reporting against pre-defined scenarios and parameters Advanced analytics tools, with real-time alerts and recommendations to make changes in policy for individual products Autonomous adjustment within defined parameters, with real-time escalation where required Don't know Not relevant

    Demand Planning and Forecasting (DP&F)

    • Current readiness
    • 5 year ambition

    Select your current company readiness for each of the sub-dimensions below.

    Readiness level Level 1
    Visibility    		 Level 2
    Predictive    		 Level 3
    Prescriptive    		 Level 4
    Self-learning Autonomous    		 Don't Know Not Relevant
    How frequently is the data in your DP&F processes refreshed? Ad-hoc Regular and appropriate planning cycle, with some unplanned changes Regular and appropriate planning cycle, with alerts if business conditions change Regular and appropriate planning cycle with real-time response to a change in business conditions Don't know Not relevant
    What is the purpose of the DP&F processes? Visibility of demand Demand management Demand profiling Demand sensing and shaping Don't know Not relevant
    What is the level of sophistication that best describes your DP&F processes? Demand planning processes supported by ERP systems but forecasting/planning is done manually by many people ERP based demand planning processes (including returns) supported by basic tools and techniques using spreadsheets. Consistent use of single algorithm statistical forecasting within teams but different between teams, taking weather into consideration Demand planning processes (including returns including in buys and replenishment) supported by analytics solutions using multiple algorithms that can profile demand patterns for individual products & customers taking several external factors into consideration (weather, competition, local events). Monthly meetings align demand forecast across the business Digital business twin, that fully mirrors core business and financial processes. Forecasting is systematised and aligned across the business taking into account multiple factors such as local events, competitors, weather and more relying on automated machine-learning techniques. Returns drivers and forecast are used to optimise the end-to-end supply chain Don't know Not relevant
    What type of reporting and analytics are used to support the DP&F processes? Supported by spreadsheets as required Analytics tools used for reporting against pre-defined scenarios and parameters Advanced analytics tools, with real-time alerts and recommendations to changes in demand pattern Autonomous adjustment within defined parameters, with real-time escalation where required Don't know Not relevant

    Select your 5 year ambition for readiness for each of the sub-dimensions below.

    Readiness level Level 1
    Visibility    		 Level 2
    Predictive    		 Level 3
    Prescriptive    		 Level 4
    Self-learning Autonomous    		 Don't Know Not Relevant
    How frequently is the data in your DP&F processes refreshed? Ad-hoc Regular and appropriate planning cycle, with some unplanned changes Regular and appropriate planning cycle, with alerts if business conditions change Regular and appropriate planning cycle with real-time response to a change in business conditions Don't know Not relevant
    What is the purpose of the DP&F processes? Visibility of demand Demand management Demand profiling Demand sensing and shaping Don't know Not relevant
    What is the level of sophistication that best describes your DP&F processes? Demand planning processes supported by ERP systems but forecasting/planning is done manually by many people ERP based demand planning processes (including returns) supported by basic tools and techniques using spreadsheets. Consistent use of single algorithm statistical forecasting within teams but different between teams, taking weather into consideration Demand planning processes (including returns including in buys and replenishment) supported by analytics solutions using multiple algorithms that can profile demand patterns for individual products & customers taking several external factors into consideration (weather, competition, local events). Monthly meetings align demand forecast across the business Digital business twin, that fully mirrors core business and financial processes. Forecasting is systematised and aligned across the business taking into account multiple factors such as local events, competitors, weather and more relying on automated machine-learning techniques. Returns drivers and forecast are used to optimise the end-to-end supply chain Don't know Not relevant
    What type of reporting and analytics are used to support the DP&F processes? Supported by spreadsheets as required Analytics tools used for reporting against pre-defined scenarios and parameters Advanced analytics tools, with real-time alerts and recommendations to changes in demand pattern Autonomous adjustment within defined parameters, with real-time escalation where required Don't know Not relevant

    Promotion, Markdown and Price (PMP)

    • Current readiness
    • 5 year ambition

    Select your current company readiness for each of the sub-dimensions below.

    Readiness level Level 1
    Visibility    		 Level 2
    Predictive    		 Level 3
    Prescriptive    		 Level 4
    Self-learning Autonomous    		 Don't Know Not Relevant
    How frequently do you review Prices and Promotions? Ad-hoc Regular cycle based on marketing and promotional calendar Regular cycle based on agreed calendar with flexibility based on trading performance Dynamic and continual review of price optimisation Don't know Not relevant
    What is the aim of most Promotions? Reduce over-stocks Strategically increase sales Optimise margin Combine multiple factors for optimisation such as inventory, margin and waste Don't know Not relevant
    What digital tools and considerations do you use to support your Promotion and Markdown planning processes? Planned in Excel or similar tool Use of analytical tools combined with advanced BI taking into account the impact of the weather Use of rules-based price solutions to understand historic and potential performance taking into consideration multiple external factors such as weather, competition and local events Machine learning algorithms driven optimisation for promotional and markdown pricing considering multiple factors such as local events, competitors, weather and more Don't know Not relevant
    What type of reporting and analytics are used to support the Markdown and Promotion planning processes? Supported by spreadsheets as required Analytics tools used for reporting against pre-defined scenarios and parameters Advanced analytics tools, with real-time alerts and recommendations for individual products Autonomous analytics continually evaluating price optimisations Don't know Not relevant

    Select your 5 year ambition for readiness for each of the sub-dimensions below.

    Readiness level Level 1
    Visibility    		 Level 2
    Predictive    		 Level 3
    Prescriptive    		 Level 4
    Self-learning Autonomous    		 Don't Know Not Relevant
    How frequently do you review Prices and Promotions? Ad-hoc Regular cycle based on marketing and promotional calendar Regular cycle based on agreed calendar with flexibility based on trading performance Dynamic and continual review of price optimisation Don't know Not relevant
    What is the aim of most Promotions? Reduce over-stocks Strategically increase sales Optimise margin Combine multiple factors for optimisation such as inventory, margin and waste Don't know Not relevant
    What digital tools and considerations do you use to support your Promotion and Markdown planning processes? Planned in Excel or similar tool Use of analytical tools combined with advanced BI taking into account the impact of the weather Use of rules-based price solutions to understand historic and potential performance taking into consideration multiple external factors such as weather, competition and local events Machine learning algorithms driven optimisation for promotional and markdown pricing considering multiple factors such as local events, competitors, weather and more Don't know Not relevant
    What type of reporting and analytics are used to support the Markdown and Promotion planning processes? Supported by spreadsheets as required Analytics tools used for reporting against pre-defined scenarios and parameters Advanced analytics tools, with real-time alerts and recommendations for individual products Autonomous analytics continually evaluating price optimisations Don't know Not relevant

    Network Design (ND)

    • Current readiness
    • 5 year ambition

    Select your current company readiness for each of the sub-dimensions below.

    Readiness level Level 1
    Visibility    		 Level 2
    Predictive    		 Level 3
    Prescriptive    		 Level 4
    Self-learning Autonomous    		 Don't Know Not Relevant
    How frequently is your Network Design (ND) refreshed? Ad-hoc / annual Bi-annual /quarterly Monthly baseline, with alerts if business conditions change Real-time response to a change in business conditions Don't know Not relevant
    What is the purpose of refreshing your Network Design (ND)? Visibility of logistics costs Logistics cost optimisation End-to-end (E2E) supply chain cost optimisation E2E business optimisation Don't know Not relevant
    What type of technology do you use to refresh your Network Design (ND)? Spreadsheets Network modelling software Dynamic network modelling embedded within a broader end-to-end supply chain system Autonomous network modelling embedded within a fully integrated business system Don't know Not relevant
    What type of reporting and analytics are used to support network design? Supported by spreadsheets as required Analytics tools used for reporting against pre-defined scenarios and parameters Automated scenario based recommendations to inform decision making Autonomous adjustment within defined parameters, with real-time escalation where required Don't know Not relevant

    Select your 5 year ambition for readiness for each of the sub-dimensions below.

    Readiness level Level 1
    Visibility    		 Level 2
    Predictive    		 Level 3
    Prescriptive    		 Level 4
    Self-learning Autonomous    		 Don't Know Not Relevant
    How frequently is your Network Design (ND) refreshed? Ad-hoc / annual Bi-annual /quarterly Monthly baseline, with alerts if business conditions change Real-time response to a change in business conditions Don't know Not relevant
    What is the purpose of refreshing your Network Design (ND)? Visibility of logistics costs Logistics cost optimisation End-to-end (E2E) supply chain cost optimisation E2E business optimisation Don't know Not relevant
    What type of technology do you use to refresh your Network Design (ND)? Spreadsheets Network modelling software Dynamic network modelling embedded within a broader end-to-end supply chain system Autonomous network modelling embedded within a fully integrated business system Don't know Not relevant
    What type of reporting and analytics are used to support network design? Supported by spreadsheets as required Analytics tools used for reporting against pre-defined scenarios and parameters Automated scenario based recommendations to inform decision making Autonomous adjustment within defined parameters, with real-time escalation where required Don't know Not relevant

    Replenishment Planning (RP)

    • Current readiness
    • 5 year ambition

    Select your current company readiness for each of the sub-dimensions below.

    Readiness level Level 1
    Visibility    		 Level 2
    Predictive    		 Level 3
    Prescriptive    		 Level 4
    Self-learning Autonomous    		 Don't Know Not Relevant
    How frequently is the data in your RP processes refreshed? Ad-hoc Regular and appropriate planning cycle, with some unplanned changes Regular and appropriate planning cycle, with alerts if business conditions change Regular and appropriate planning cycle with real-time response to a change in business conditions Don't know Not relevant
    What is the purpose of the RP processes? Visibility of production requirements Optimisation of production E2E supply chain optimisation E2E business optimisation Don't know Not relevant
    What situation best describes the technology you use to support your RP processes? Replenishment planning processes supported by ERP where quantities are based on display requirements ERP based replenishment planning processes are supported by basic tools and techniques using spreadsheets and statistical forecasting where quantities are based on min/max logic Replenishment planning processes supported by analytics solutions that can profile policy for individual products and driven by demand forecast Digital business twin, that fully mirrors core business and financial processes using cost optimisation taking into account demand, lost sales risk, waste, cost of capital or others Don't know Not relevant
    What type of reporting and analytics are used to support the RP processes? Supported by spreadsheets as required Analytics tools used for reporting against pre-defined scenarios and parameters Advanced analytics tools, with real-time alerts and recommendations to make changes in policy for individual products Autonomous adjustment within defined parameters, with real-time escalation where required Don't know Not relevant

    Select your 5 year ambition for readiness for each of the sub-dimensions below.

    Readiness level Level 1
    Visibility    		 Level 2
    Predictive    		 Level 3
    Prescriptive    		 Level 4
    Self-learning Autonomous    		 Don't Know Not Relevant
    How frequently is the data in your RP processes refreshed? Ad-hoc Regular and appropriate planning cycle, with some unplanned changes Regular and appropriate planning cycle, with alerts if business conditions change Regular and appropriate planning cycle with real-time response to a change in business conditions Don't know Not relevant
    What is the purpose of the RP processes? Visibility of production requirements Optimisation of production E2E supply chain optimisation E2E business optimisation Don't know Not relevant
    What situation best describes the technology you use to support your RP processes? Replenishment planning processes supported by ERP where quantities are based on display requirements ERP based replenishment planning processes are supported by basic tools and techniques using spreadsheets and statistical forecasting where quantities are based on min/max logic Replenishment planning processes supported by analytics solutions that can profile policy for individual products and driven by demand forecast Digital business twin, that fully mirrors core business and financial processes using cost optimisation taking into account demand, lost sales risk, waste, cost of capital or others Don't know Not relevant
    What type of reporting and analytics are used to support the RP processes? Supported by spreadsheets as required Analytics tools used for reporting against pre-defined scenarios and parameters Advanced analytics tools, with real-time alerts and recommendations to make changes in policy for individual products Autonomous adjustment within defined parameters, with real-time escalation where required Don't know Not relevant

    Strategic Planning (SP)

    • Current readiness
    • 5 year ambition

    Select your current company readiness for each of the sub-dimensions below.

    Readiness level Level 1
    Visibility    		 Level 2
    Predictive    		 Level 3
    Prescriptive    		 Level 4
    Self-learning Autonomous    		 Don't Know Not Relevant
    How frequently are your Financial Strategy and Planning processes discussed cross-functionally? Weekly / Quarterly / Annually Monthly Monthly baseline, with alerts if business conditions change Real-time response to a change in business conditions Don't know Not relevant
    What is the purpose of the Financial Strategy and Planning processes? Visibility of sales plan Review key planning metrics such as sales, stock and margin Review opportunities Ensure cross-functional alignment of all key plans Don't know Not relevant
    What approach best describes how your business refreshes Financial Strategy and Planning processes? Planning processes supported by ERP systems without using customer data and next year plans are set top-down based on this years sales and growth ERP based planning processes are supported by basic tools and techniques using spreadsheets and statistical forecasting manually informed by customer data. Next years' plans are set bottom-up based on this years sales and growth S&OP software integrated with ERP (operational and financial) where customer data is fed into some planning processes and systems. Next year's plans based on understanding lost sales and opportunities to calculate potential sales bottom-up. AI trials on specific use cases to deliver value Digital business twin, that fully mirrors core business and financial processes with customer data fully integrated into merchandise, assortment and space planning processes. Reliance of machine-learning techniques to normalise sales based on promotions, lost sales, events to evaluate trends and opportunities Don't know Not relevant
    What type of reporting and analytics are used to support the Financial Strategy and Planning processes? Supported by spreadsheets as required Analytics tools used for reporting against pre-defined scenarios and parameters Automated scenario based recommendations to inform decision making Autonomous adjustment within defined parameters, with real-time escalation where required Don't know Not relevant

    Select your 5 year ambition for readiness for each of the sub-dimensions below.

    Readiness level Level 1
    Visibility    		 Level 2
    Predictive    		 Level 3
    Prescriptive    		 Level 4
    Self-learning Autonomous    		 Don't Know Not Relevant
    How frequently are your Financial Strategy and Planning processes discussed cross-functionally? Weekly / Quarterly / Annually Monthly Monthly baseline, with alerts if business conditions change Real-time response to a change in business conditions Don't know Not relevant
    What is the purpose of the Financial Strategy and Planning processes? Visibility of sales plan Review key planning metrics such as sales, stock and margin Review opportunities Ensure cross-functional alignment of all key plans Don't know Not relevant
    What approach best describes how your business refreshes Financial Strategy and Planning processes? Planning processes supported by ERP systems without using customer data and next year plans are set top-down based on this years sales and growth ERP based planning processes are supported by basic tools and techniques using spreadsheets and statistical forecasting manually informed by customer data. Next years' plans are set bottom-up based on this years sales and growth S&OP software integrated with ERP (operational and financial) where customer data is fed into some planning processes and systems. Next year's plans based on understanding lost sales and opportunities to calculate potential sales bottom-up. AI trials on specific use cases to deliver value Digital business twin, that fully mirrors core business and financial processes with customer data fully integrated into merchandise, assortment and space planning processes. Reliance of machine-learning techniques to normalise sales based on promotions, lost sales, events to evaluate trends and opportunities Don't know Not relevant
    What type of reporting and analytics are used to support the Financial Strategy and Planning processes? Supported by spreadsheets as required Analytics tools used for reporting against pre-defined scenarios and parameters Automated scenario based recommendations to inform decision making Autonomous adjustment within defined parameters, with real-time escalation where required Don't know Not relevant

    Omni-channel (OC)

    • Current readiness
    • 5 year ambition

    Select your current company readiness for each of the sub-dimensions below.

    Readiness level Level 1
    Visibility    		 Level 2
    Predictive    		 Level 3
    Prescriptive    		 Level 4
    Self-learning Autonomous    		 Don't Know Not Relevant
    How is Omni-Channel inventory planned? Inventory planned as distinct channels Demand planned as distinct channels and aggregated for omni-channel stock Planned as an omni-channel proposition understanding the different dynamics of each channel Use AI to evaluate optimum inventory locations for each customer transaction Don't know Not relevant
    How frequently do you review your Omni-channel strategy? Annually Ad hoc based on performance Regular cycle based on agreed calendar with flexibility based on trading performance Continually evaluate based on trade, customer feedback and additional factors Don't know Not relevant
    What situation best describes the type of technology you are currently using to support your sales? Planned in Excel or similar tool where click and collect orders are sent from DC stock and classified as online sales together with the online orders with no access to the stock in stores Use of analytical tools combined with advanced BI where both click and collect as well as online orders can be fulfilled from store stock and classify as sales at the location of the original stock location Leverage omni-channel and external technologies such as web performance, insights and analytics. Both click and collect as well as online orders are classified as sales and its fulfilment prioritises store stock over the DC using a real-time store stock record to update the online stock Machine learning algorithms drive optimised omni-channel processes and management with cost-optimised distribution with optimisation of despatch location for each new order where both click and collect as well as online orders can be classed in multiple ways to understand its impact Don't know Not relevant
    What type of reporting and analytics are used to support the Omni-Channel planning processes? Supported by spreadsheets as required Analytics tools used for reporting against pre-defined scenarios and parametersAnalytics tools used for reporting against pre-defined scenarios and parameters Advanced analytics tools, with real-time alerts and recommendations for each touchpoint Autonomous analytics continually evaluating optimum inventory management Don't know Not relevant

    Select your 5 year ambition for readiness for each of the sub-dimensions below.

    Readiness level Level 1
    Visibility    		 Level 2
    Predictive    		 Level 3
    Prescriptive    		 Level 4
    Self-learning Autonomous    		 Don't Know Not Relevant
    How is Omni-Channel inventory planned? Inventory planned as distinct channels Demand planned as distinct channels and aggregated for omni-channel stock Planned as an omni-channel proposition understanding the different dynamics of each channel Use AI to evaluate optimum inventory locations for each customer transaction Don't know Not relevant
    How frequently do you review your Omni-channel strategy? Annually Ad hoc based on performance Regular cycle based on agreed calendar with flexibility based on trading performance Continually evaluate based on trade, customer feedback and additional factors Don't know Not relevant
    What situation best describes the type of technology you are currently using to support your sales? Planned in Excel or similar tool where click and collect orders are sent from DC stock and classified as online sales together with the online orders with no access to the stock in stores Use of analytical tools combined with advanced BI where both click and collect as well as online orders can be fulfilled from store stock and classify as sales at the location of the original stock location Leverage omni-channel and external technologies such as web performance, insights and analytics. Both click and collect as well as online orders are classified as sales and its fulfilment prioritises store stock over the DC using a real-time store stock record to update the online stock Machine learning algorithms drive optimised omni-channel processes and management with cost-optimised distribution with optimisation of despatch location for each new order where both click and collect as well as online orders can be classed in multiple ways to understand its impact Don't know Not relevant
    What type of reporting and analytics are used to support the Omni-Channel planning processes? Supported by spreadsheets as required Analytics tools used for reporting against pre-defined scenarios and parametersAnalytics tools used for reporting against pre-defined scenarios and parameters Advanced analytics tools, with real-time alerts and recommendations for each touchpoint Autonomous analytics continually evaluating optimum inventory management Don't know Not relevant

    Transport Planning & Optimisation (TP&O)

    • Current readiness
    • 5 year ambition

    Select your current company readiness for each of the sub-dimensions below.

    Readiness level Level 1
    Visibility    		 Level 2
    Predictive    		 Level 3
    Prescriptive    		 Level 4
    Self-learning Autonomous    		 Don't Know Not Relevant
    How frequently is the data in your TP&O processes refreshed? Ad-hoc Regular and appropriate parameter review, with some unplanned changes Regular and appropriate parameter review, with alerts if business conditions change Regular and appropriate parameter review with real-time response to a change in business conditions Don't know Not relevant
    What is the purpose of the TP&O processes? Visibility of transport requirements Optimise transportation costs E2E SC optimisation E2E business optimisation Don't know Not relevant
    What type of technology do you use to support your TP&O processes? TP&O processes supported by ERP systems, and specialist systems to enable route & labour optimisation ERP based TP&O processes are supported by basic tools and techniques using spreadsheets and simple algorithms TP&O supported by analytics solutions to enable dynamic logistics planning and optimisation Digital logistics twin, that fully mirrors core business and financial processes with customers Don't know Not relevant
    What type of reporting and analytics are used to support the TP&O processes? Supported by spreadsheets as required Analytics tools used for reporting to enable root-cause analysis, and support improvement in delivery performance, route and labour optimisation Advanced analytics tools, with real-time alerts and recommendations for routing changes Autonomous adjustment within defined parameters, with real-time escalation where required Don't know Not relevant

    Select your 5 year ambition for readiness for each of the sub-dimensions below.

    Readiness level Level 1
    Visibility    		 Level 2
    Predictive    		 Level 3
    Prescriptive    		 Level 4
    Self-learning Autonomous    		 Don't Know Not Relevant
    How frequently is the data in your TP&O processes refreshed? Ad-hoc Regular and appropriate parameter review, with some unplanned changes Regular and appropriate parameter review, with alerts if business conditions change Regular and appropriate parameter review with real-time response to a change in business conditions Don't know Not relevant
    What is the purpose of the TP&O processes? Visibility of transport requirements Optimise transportation costs E2E SC optimisation E2E business optimisation Don't know Not relevant
    What type of technology do you use to support your TP&O processes? TP&O processes supported by ERP systems, and specialist systems to enable route & labour optimisation ERP based TP&O processes are supported by basic tools and techniques using spreadsheets and simple algorithms TP&O supported by analytics solutions to enable dynamic logistics planning and optimisation Digital logistics twin, that fully mirrors core business and financial processes with customers Don't know Not relevant
    What type of reporting and analytics are used to support the TP&O processes? Supported by spreadsheets as required Analytics tools used for reporting to enable root-cause analysis, and support improvement in delivery performance, route and labour optimisation Advanced analytics tools, with real-time alerts and recommendations for routing changes Autonomous adjustment within defined parameters, with real-time escalation where required Don't know Not relevant

    Warehouse Management (WM)

    • Current readiness
    • 5 year ambition

    Select your current company readiness for each of the sub-dimensions below.

    Readiness level Level 1
    Visibility    		 Level 2
    Predictive    		 Level 3
    Prescriptive    		 Level 4
    Self-learning Autonomous    		 Don't Know Not Relevant
    How frequently is the data in your Warehouse Management processes refreshed? Ad-hoc Regular and appropriate parameter review, with some unplanned changes Regular and appropriate parameter review, with alerts if business conditions change Regular and appropriate parameter review with real-time response to a change in business conditions Don't know Not relevant
    What is the purpose of the Warehouse Management processes? Visibility of warehouse utilisation Warehouse cost optimisation E2E SC optimisation E2E business optimisation Don't know Not relevant
    What type of technology do you use to support your Warehouse Management processes? Warehouse Management processes supported by ERP systems and support degree of automation in warehouse operations Warehouse Management processes are supported by basic tools and techniques using spreadsheets and simple algorithms Warehouse Management processes supported by analytics solutions that support the use of advanced warehouse automation solutions as well as technologies like augmented reality Fully automated warehouse supported by a digital twin, that fully mirrors core business and financial processes Don't know Not relevant
    What type of reporting and analytics are used to support the Warehouse Management processes? Supported by spreadsheets as required Analytics tools used for reporting on key WM metrics, to support cost optimisation Advanced analytics tools, with real-time alerts and recommendations that enable dynamic Warehouse Management Autonomous adjustment within defined parameters, with real-time escalation where required Don't know Not relevant

    Select your 5 year ambition for readiness for each of the sub-dimensions below.

    Readiness level Level 1
    Visibility    		 Level 2
    Predictive    		 Level 3
    Prescriptive    		 Level 4
    Self-learning Autonomous    		 Don't Know Not Relevant
    How frequently is the data in your Warehouse Management processes refreshed? Ad-hoc Regular and appropriate parameter review, with some unplanned changes Regular and appropriate parameter review, with alerts if business conditions change Regular and appropriate parameter review with real-time response to a change in business conditions Don't know Not relevant
    What is the purpose of the Warehouse Management processes? Visibility of warehouse utilisation Warehouse cost optimisation E2E SC optimisation E2E business optimisation Don't know Not relevant
    What type of technology do you use to support your Warehouse Management processes? Warehouse Management processes supported by ERP systems and support degree of automation in warehouse operations Warehouse Management processes are supported by basic tools and techniques using spreadsheets and simple algorithms Warehouse Management processes supported by analytics solutions that support the use of advanced warehouse automation solutions as well as technologies like augmented reality Fully automated warehouse supported by a digital twin, that fully mirrors core business and financial processes Don't know Not relevant
    What type of reporting and analytics are used to support the Warehouse Management processes? Supported by spreadsheets as required Analytics tools used for reporting on key WM metrics, to support cost optimisation Advanced analytics tools, with real-time alerts and recommendations that enable dynamic Warehouse Management Autonomous adjustment within defined parameters, with real-time escalation where required Don't know Not relevant
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