Delhaize has selected SAF RetailSuite Store to support its in-stock conditions and align its inventory with consumer demand. Delhaize, which operates under the banners Food Lion, Bloom, Bottom Dollar Food, Harveys, Hannaford and Sweetbay, will implement the solution in its 1,500 stores across 16 states.
\r\n
\r\n
“As a group, we pride ourselves on offering a locally differentiated shopping experience to our customers across the nation,” said Scott Harrison, CIO of Delhaize America. “SAF’s RetailSuite will enable us to further optimize our inventory on a store-by-store basis and help provide value across our entire supply chain.”
\r\n
\r\nUsing SAF RetailSuite Store, Delhaize America’s orders will automate using a demand-chain management approach based on forecasted sales and current inventory levels. The forecasts will also allow Delhaize to take factors such as seasonal effects, promotions, price changes and advertising campaigns into account to provide cost-effective, accurate orders. Micro forecasting will allow each item’s sales history to be used to address changing sales patterns in each store to meet localized demand. "}]}};
const country = "US";
const language = "en-US,en;q=0.5";
const SITE_LANGUAGE = "en";
const siteName = "RIS News";
const userRoles = ["anonymous"];
const userUid = 0;
const indexName = "risnews";
window.dataLayer = window.dataLayer || [];
const data = {};
data.entityTaxonomy = {};
const contentTypes = [
"article",
"blog",
"bulletin",
"embed_page",
"landing_page",
"event",
"image",
"page",
"product",
"whitepaper",
"video",
"tags",
];
if (
routeInfo &&
"bundle" in routeInfo &&
contentTypes.includes(routeInfo["bundle"])
) {
data.entityBundle = routeInfo.bundle;
data.entityTitle = `${routeInfo.title} | ${siteName}`;
data.entityId = routeInfo.id;
data.entityName = routeInfo.author?.uname;
data.entityCreated = routeInfo.created;
data.sponsored = routeInfo.sponsored;
data.sponsor = routeInfo.sponsoringCompany;
data.entityType = "node";
data.entityLangcode = SITE_LANGUAGE;
data.siteName = siteName;
data.drupalLanguage = language;
data.drupalCountry = country;
data.userRoles = userRoles;
data.userUid = userUid;
data.entityTaxonomyKeys = {};
data.entityTaxonomyHierarchies = {};
data.parentNaicsCode = {};
data.isPro = false;
data.algoliaIndexName = indexName;
// Add toxonomy data
const taxonomies = {
businessTopic: "business_topic",
contentType: "content_type",
company: "company",
marketSegment: "market_segment",
};
const getHierarchy = (term, terms = []) => {
terms.push({ id: term.id, name: term.name });
if (term.parentTerm != null) {
getHierarchy(term.parentTerm, terms);
}
return terms;
};
const getTerms = (term, useApiId = false) => {
return { id: useApiId ? term.apiId : term.id, name: term.name };
};
const getKeys = (term) => {
return { id: term.id, name: term.apiId };
};
Object.entries(taxonomies).forEach(([key, item]) => {
terms = routeInfo[key];
if (terms && terms.length > 0) {
data["entityTaxonomy"][item] = terms.map((term) =>
getTerms(term, key === "company")
);
if (key !== "company") {
data["entityTaxonomyKeys"][item] = terms.map(getKeys);
termGroups = [];
terms.forEach((term, termInd) => {
termGroups[termInd] = getHierarchy(term);
});
data["entityTaxonomyHierarchies"][item] = termGroups;
}
}
});
data["entityTaxonomy"]["tags"] = routeInfo["topics"] || [];
// Primary Topic is either the business topic or the top tag.
if (routeInfo["businessTopic"]?.length > 0) {
data["entityPrimaryTopic"] = routeInfo["businessTopic"][0]["name"];
} else {
if (routeInfo["topics"]?.length > 0) {
data["entityPrimaryTopic"] = routeInfo["topics"][0]["name"];
}
}
// Primary and secondary entityNaicsCodes come from the MarketSegment
if (routeInfo.marketSegment?.length > 0) {
data.entityNaicsCode = {};
data["entityNaicsCode"]["id"] = routeInfo["marketSegment"][0]["id"];
data["entityNaicsCode"]["name"] =
routeInfo["marketSegment"][0]["naicsCode"];
if (routeInfo["marketSegment"][0]["parentTerm"] != null) {
data["parentNaicsCode"]["id"] =
routeInfo["marketSegment"][0]["parentTerm"]["id"];
data["parentNaicsCode"]["name"] =
routeInfo["marketSegment"][0]["parentTerm"]["naicsCode"];
}
} else {
data.entityNaicsCode = [];
}
if (routeInfo.taggedPro) {
data.isPro = routeInfo.taggedPro;
}
window.dataLayer.push(data);
} else if (routeInfo && "vid" in routeInfo) {
data.entityBundle = "tags";
data.entityTitle = routeInfo.name;
data.entityId = routeInfo.id;
data.entityName = routeInfo.author?.uname;
data.entityCreated = routeInfo.created;
data.entityType = "taxonomy_term";
data.entityLangcode = SITE_LANGUAGE;
data.siteName = siteName;
data.sponsored = routeInfo.sponsored;
data.sponsor = routeInfo.sponsoringCompany;
data.drupalLanguage = language;
data.drupalCountry = country;
data.userRoles = userRoles;
data.userUid = userUid;
data.algoliaIndexName = indexName;
data["entityTaxonomy"]["tags"] = {
id: routeInfo["id"],
name: routeInfo["name"],
};
window.dataLayer.push(data);
}
})();Delhaize Automates Store Level Replenishment
Delhaize has selected SAF RetailSuite Store to support its in-stock conditions and align its inventory with consumer demand. Delhaize, which operates under the banners Food Lion, Bloom, Bottom Dollar Food, Harveys, Hannaford and Sweetbay, will implement the solution in its 1,500 stores across 16 states.
“As a group, we pride ourselves on offering a locally differentiated shopping experience to our customers across the nation,” said Scott Harrison, CIO of Delhaize America. “SAF’s RetailSuite will enable us to further optimize our inventory on a store-by-store basis and help provide value across our entire supply chain.”
Using SAF RetailSuite Store, Delhaize America’s orders will automate using a demand-chain management approach based on forecasted sales and current inventory levels. The forecasts will also allow Delhaize to take factors such as seasonal effects, promotions, price changes and advertising campaigns into account to provide cost-effective, accurate orders. Micro forecasting will allow each item’s sales history to be used to address changing sales patterns in each store to meet localized demand.