{ "docId": "019dd923-5de0-76bd-a164-f28e285665c2", "docSlug": "4f31053c24047a21", "documentTitle": "Fast-track to future-ready performance", "authorId": "misc", "authorName": "Accenture", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 24, "pageCount": 41, "prevPage": 23, "nextPage": 25, "slideType": "case_study", "function": "illustrate_case", "density": "overcrowded", "nDataPoints": 6, "notes": "Includes a quote from a J&J executive and quantitative results from a retail case study.", "elementsJson": [ "quote_block", "callout_box", "big_number" ], "metadataConfidence": 1, "imagePath": null, "slideHref": "/slides/019dd923-5de0-76bd-a164-f28e285665c2/24", "deckHref": "/decks/019dd923-5de0-76bd-a164-f28e285665c2", "deckJsonHref": "/decks/019dd923-5de0-76bd-a164-f28e285665c2.json", "deckAnchorHref": "/decks/019dd923-5de0-76bd-a164-f28e285665c2#slide-24", "components": [ { "bbox": null, "kind": "callout", "text": "As a result, the company has streamlined operations and boosted performance. It has seen a 33% increase in productivity, a 15% boost to forecasting accuracy and a 30% reduction in inventory.", "attrs": null, "subkind": null, "toolName": "Visual emphasis", "toolSlug": "visual-emphasis", "confidence": null, "componentId": "019dd951-f384-7548-b577-d386332b1d9a", "frameworkName": null, "frameworkSlug": null }, { "bbox": { "h": 0.06, "w": 0.08, "x": 0.36, "y": 0.68 }, "kind": "metric", "text": "15%", "attrs": null, "subkind": "big-number", "toolName": null, "toolSlug": null, "confidence": null, "componentId": "240633bc-497a-4fa9-891c-c12944b4b4b5", "frameworkName": null, "frameworkSlug": null }, { "bbox": { "h": 0.06, "w": 0.08, "x": 0.24, "y": 0.68 }, "kind": "metric", "text": "33%", "attrs": null, "subkind": "big-number", "toolName": null, "toolSlug": null, "confidence": null, "componentId": "4b333dcf-75f0-4414-8096-a3e8710ce367", "frameworkName": null, "frameworkSlug": null }, { "bbox": null, "kind": "metric", "text": "productivity: 33%", "attrs": null, "subkind": "primary", "toolName": "Quantification", "toolSlug": "quantification", "confidence": null, "componentId": "019dd951-f384-7548-b577-d900832c096f", "frameworkName": null, "frameworkSlug": null }, { "bbox": { "h": 0.65, "w": 0.36, "x": 0.54, "y": 0.18 }, "kind": "paragraph", "text": "Case study\n\nWith 17,000 items on promotion in 1,200 stores each week, a North American retailer’s promotional business is worth US$9B a year.\n\nGetting inventory allocation right matters. It greatly affects the customer experience and the bottom line. With a new AI-powered forecast analytics and allocation solution, the retailer can fine-tune promotions and allocate inventory to stores more accurately, even overseas.\n\nMachine learning models forecast demand up to eight weeks in advance while analytics reveal each store’s contribution to promotional sales. Promotions teams have left behind one-size-fits-all models to build a truly customer-centered supply chain.\n\nAs a result, the company has streamlined operations and boosted performance. It has seen a 33% increase in productivity, a 15% boost to forecasting accuracy and a 30% reduction in inventory.", "attrs": null, "subkind": "paragraph", "toolName": null, "toolSlug": null, "confidence": null, "componentId": "2f30540b-bad5-4290-b3a4-b408c1190eb9", "frameworkName": null, "frameworkSlug": null }, { "bbox": { "h": 0.05, "w": 0.08, "x": 0.24, "y": 0.76 }, "kind": "paragraph", "text": "increase in productivity", "attrs": null, "subkind": "paragraph", "toolName": null, "toolSlug": null, "confidence": null, "componentId": "8515f32f-f1d2-4373-a1b4-d4612602a1e2", "frameworkName": null, "frameworkSlug": null }, { "bbox": { "h": 0.08, "w": 0.38, "x": 0.08, "y": 0.17 }, "kind": "paragraph", "text": "Bart Talloen, a vice president at Johnson & Johnson, explained how new ways of operating are contributing to better and faster customer solutions:", "attrs": null, "subkind": "paragraph", "toolName": null, "toolSlug": null, "confidence": null, "componentId": "c1a4d3e7-1f8b-4f3d-ac8c-4218bc0019e4", "frameworkName": null, "frameworkSlug": null }, { "bbox": { "h": 0.05, "w": 0.1, "x": 0.36, "y": 0.76 }, "kind": "paragraph", "text": "boost to forecasting accuracy", "attrs": null, "subkind": "paragraph", "toolName": null, "toolSlug": null, "confidence": null, "componentId": "f150fe60-ab76-4c7c-b51a-2590d0150ee4", "frameworkName": null, "frameworkSlug": null }, { "bbox": { "h": 0.25, "w": 0.38, "x": 0.08, "y": 0.275 }, "kind": "quote", "text": "As our supply chain has leaned heavily on data science to anticipate consumer demands and bottlenecks, it has become clear that patients, consumers and customers alike have benefited from its quick response.", "attrs": null, "subkind": "pull-quote", "toolName": null, "toolSlug": null, "confidence": null, "componentId": "35a4890a-b04e-461d-ae1e-79c34d8e7f81", "frameworkName": null, "frameworkSlug": null }, { "bbox": null, "kind": "quote", "text": "As our supply chain has leaned heavily on data science to anticipate consumer demands and bottlenecks, it has become clear that patients, consumers and customers alike have benefited from its quick response. — Bart Talloen, Johnson & Johnson", "attrs": null, "subkind": null, "toolName": "Authority citation", "toolSlug": "authority-citation", "confidence": null, "componentId": "019dd951-f384-7548-b577-d67d0388dcc7", "frameworkName": null, "frameworkSlug": null }, { "bbox": { "h": 0.03, "w": 0.19, "x": 0.78, "y": 0.06 }, "kind": "title", "text": "Three ways to become future-ready", "attrs": null, "subkind": "action-title", "toolName": null, "toolSlug": null, "confidence": null, "componentId": "7023fa88-2838-467d-a88d-64aca06ed248", "frameworkName": null, "frameworkSlug": null }, { "bbox": { "h": 0.03, "w": 0.19, "x": 0.08, "y": 0.06 }, "kind": "title", "text": "Know the key steps", "attrs": null, "subkind": "headline", "toolName": null, "toolSlug": null, "confidence": null, "componentId": "ea469bf0-1e5c-43ee-9962-4ca1b2967551", "frameworkName": null, "frameworkSlug": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 25, "from": 13, "beatId": "4a25874d-3d11-431d-82c5-607de338f96c", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Solution & Approach", "beatSlug": "consultants-gambit-solution-approach", "evidence": "The deck outlines three ways to become future-ready and provides case studies and key takeaways.", "position": 2, "confidence": 0.8, "parentBeatName": "Turn", "parentBeatSlug": "turn" } ], "loops": [], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }