Ted Taylor在半导体行业工作了25年后，转行进入了餐饮业。如今，他是一名独立加盟商，在新墨西哥州经营着三家联合品牌的Schlotzsky’s和Cinnabon餐厅。
经营快餐店意味着要在客户体验与大量顾客看不到的工作之间取得平衡，比如菜单定价、人员配置、设备维护和政策制定。Ted利用OpenAI技术更快地完成所有这些工作。
借助ChatGPT，Ted加速了研究和起草等耗时任务，他还使用ChatGPT Work来收集和分析定价、销售、预测、排班以及劳动力等方面的大量数据，并获得关于每家餐厅需要关注哪些方面的建议，将重新定价时间减少了95%，并将工资核算流程缩短了4小时。
“ChatGPT Work的建议非常好，从那里开始然后再做调整要快得多。”
—Ted Taylor，Schlotzsky’s和Cinnabon独立加盟商
在几分钟内为三个市场重新定价菜单
菜单重新定价是一项年度工作，需要对配方成本、菜品受欢迎程度、当地竞争对手定价、份量大小以及堂食和外卖订单的不同经济性进行复杂分析。Ted使用ChatGPT Work将这些因素整合在一起，在1-2小时内获得定价建议，而不是5天。
“过去我需要几天的工作来分析并制定单品级定价；而ChatGPT Work在片刻之间就能完成，而且做得更彻底。”
—Ted Taylor，Schlotzsky’s和Cinnabon独立加盟商
Ted首先使用ChatGPT Work根据当地竞争对手的定价趋势、份量大小和相对食品质量来研究并确立他的定价目标和定价策略。然后，他向ChatGPT Work提供一份分类菜单项目清单及其当前的堂食和外卖价格。他具体说明他希望每组价格整体上涨多少，以及哪些项目应获得较大或较小的涨幅，这主要基于ChatGPT早前的分析。
他可以通过添加单品级销售历史和供应商价格来使分析更加详细。ChatGPT Work可以利用这些输入来估算价格变化对销售的影响，并围绕商品成本目标优化单品级定价。
ChatGPT Work会返回一份包含建议堂食和外卖价格的电子表格。它甚至会将定价变化与整体定价策略联系起来，该策略旨在优化业务成果，如客户留存、尽量减少价格冲击以及附加产品的最佳定位。
Ted第一次使用ChatGPT Work进行定价时，他也手动进行了分析。“ChatGPT Work进行了更深入的本地比较，帮助我避免了一些会使某些菜品失去竞争力的涨价，”他说。Ted立即转而使用ChatGPT来制定首批建议。
寻找优化劳动力和释放现金流的方法
Ted通过两种方式使用ChatGPT Work来帮助管理劳动力成本：审查他的三家餐厅的劳动力跟踪情况，并测试一种更好的方式来制定每周排班。
在劳动力分析方面，Ted授予ChatGPT Work对其销售和劳动力数据的只读访问权限。当他运行分析时，它会将排定、预算和实际工时与预测和实际销售额进行比较。它还会审查过去12周的情况，以考虑那些经常高于或低于销售预测的门店。生成的报告会标记加班、超出计划时长的班次以及覆盖缺口，并突出显示经理应审查的内容。
在排班测试中，Ted向ChatGPT Work提供了一份员工名册，包括每个人的角色、培训、可用性和薪资，以及门店在不同销售水平下的人员需求。他和经理将ChatGPT Work提出的排班与她本来会制定的排班进行比较，找出了关于繁忙时段何时增加员工的缺失规则，并完善了对ChatGPT Work的指令。
ChatGPT Work现在为该门店生成完整排班。经理会检查它，必要时进行调整，然后输入餐厅的排班系统。Ted估计，更好的排班最终可能使三家餐厅的小时劳动力成本占销售额的比例降低一到两个百分点，这可能每年增加5万至10万美元的自由现金流，可用于提高薪酬、奖金、业务投资或增加利润分配。
使用ChatGPT Work加速后台任务
Ted还将ChatGPT Work用于日常运营，从制定人力资源政策到核对现金以及管理供应和维修请求。
当新墨西哥州开始要求餐厅保留体液事件书面程序时，Ted使用ChatGPT在大约30秒内起草了一份草案。当Ted需要为员工手册制定社交媒体政策时，ChatGPT帮助他快速起草了指南，后来外部人力资源公司审查时未作任何修改。
Ted使用ChatGPT Work每月核对三家餐厅的现金。他上传每家门店的现金交易数据和银行记录，ChatGPT Work将交易与相应的存款进行比较。每月核对过去需要三个小时，现在只需5-10分钟。他还通过使用ChatGPT Work汇总工资核算输入，从每个工资周期中减少了四小时的手工工作。
为了帮助餐厅平稳运营，Ted还使用ChatGPT Work构建了一个网络门户，员工可以通过它请求用品或维修。该门户通过专用电子邮件地址通知他，并跟踪每个请求的状态。
更多时间用于改善业务，而不仅仅是运营业务
Ted使用ChatGPT Work的方法对任何小企业主来说都很实用。他给ChatGPT提供与自己做决策时会使用的相同数据和指导方针，并将其输出与自己会如何完成工作进行比较。随着他对结果越来越有信心，他将使用范围扩展到业务中的更多任务，并且总是在实施前审查结果。
对Ted来说，ChatGPT Work的价值不仅仅在于节省时间。现在他可以做那些否则可能会跳过的分析，并将更多时间花在客户、员工和业务增长上。
Ted Taylor entered the restaurant business after a 25-year career in the semiconductor industry. Today, he’s an independent franchisee operating three co-branded Schlotzsky’s and Cinnabon restaurants across New Mexico.
Running quick-service restaurants means balancing the customer experience with a lot of work customers never see, like menu pricing, staffing, equipment maintenance, and policies. Ted uses OpenAI technology to get through all of it faster.
With ChatGPT, Ted accelerates time-consuming tasks like research and drafting, and he uses ChatGPT Work to gather and analyze volumes of data across pricing, sales, forecasts, schedules, and labor and to get recommendations on where each restaurant needs attention, reducing repricing time by 95% and shaving 4 hours off payroll runs.
“ChatGPT Work’s recommendations are so good that it’s much faster to start there and then make adjustments.”
—Ted Taylor, independent franchisee, Schlotzsky’s and Cinnabon
Repricing menus across three markets in minutes
Repricing menus is an annual undertaking that requires a complex analysis of recipe costs, item popularity, local competitor pricing, portion sizes, and the different economics of in-store and delivery orders. Ted uses ChatGPT Work to bring those factors together and get pricing recommendations in 1 - 2 hours instead of 5 days.
“It used to take me a few days of work to analyze and come up with item-level pricing; whereas, ChatGPT Work tears through it in a matter of moments and does it more thoroughly.”
—Ted Taylor, independent franchisee, Schlotzsky’s and Cinnabon
Ted first uses ChatGPT Work to research and establish his pricing targets and pricing strategies based on local competitors’ pricing trends, portion sizes, and relative food quality. He then gives ChatGPT Work a categorized list of menu items with their current in-store and delivery prices. He specifies how much he wants each set of prices to increase overall and which items should receive larger or smaller increases, largely based on the earlier analysis from ChatGPT.
He can make the analysis more detailed by adding item-level sales history and supplier prices. ChatGPT Work can use these inputs to estimate sales impacts from price changes and to optimize item-level pricing around cost of goods targets.
ChatGPT Work returns a spreadsheet with recommended in-store and delivery prices. It will even relate the pricing changes to an overall pricing strategy designed to optimize business outcomes like customer retention, minimizing price shocks, and best positioning of add-ons.
The first time Ted used ChatGPT Work for pricing, he also ran the analysis manually. “ChatGPT Work made a deeper local comparison and helped me avoid increases that would have made some items uncompetitive,” he said. Ted immediately switched to using ChatGPT to develop the first recommendations.
Finding ways to optimize labor and free up cash flow
Ted uses ChatGPT Work to help manage labor costs in two ways: reviewing how labor is tracking across his three restaurants and testing a better way to build the weekly schedule.
For the labor analysis, Ted gave ChatGPT Work read-only access to his sales and labor data. When he runs the analysis, it compares scheduled, budgeted, and actual hours with forecast and actual sales. It also reviews the previous 12 weeks to account for stores that routinely come in above or below their sales forecasts. The resulting report flags overtime, shifts running longer than planned, and gaps in coverage, and highlights what a manager should review.
For the scheduling test, Ted gave ChatGPT Work an employee roster with each person’s role, training, availability, and pay, along with the store’s staffing needs at different sales levels. He and the manager compared ChatGPT Work’s proposed schedule with what she would have built, identified missing rules about when to add staff during busy periods, and refined the instructions for ChatGPT Work.
ChatGPT Work now produces a full schedule for that location. The manager checks it over, makes adjustments if needed, and enters it into the restaurant’s scheduling system. Ted estimates that better scheduling could eventually reduce hourly labor costs by one to two percentage points of sales across all three restaurants, which could add $50,000 to $100,000 in free cash flow annually that can be utilized for increased pay, bonuses, investment in the business, or increased profit distributions.
Accelerating back-office tasks with ChatGPT Work
Ted also uses ChatGPT Work for day-to-day operations, from developing HR policies to reconciling cash and managing supply and repair requests.
When New Mexico started requiring restaurants to keep a written procedure for bodily-fluid incidents, Ted used ChatGPT to write a draft in about 30 seconds. When Ted needed a social media policy for his employee handbook, ChatGPT helped him quickly draft guidance that an outside HR firm later reviewed without making any changes.
Ted uses ChatGPT Work to reconcile cash monthly across his three restaurants. He uploads each store’s cash transaction data and bank records, and ChatGPT Work compares the transactions with the corresponding deposits. Monthly reconciliation used to take three hours, and now it takes 5-10 minutes. He also cut four hours of manual work from every payroll cycle by using ChatGPT Work to summarize payroll inputs.
To help keep restaurants running smoothly, Ted also used ChatGPT Work to build a web portal where employees can request supplies or repairs. The portal notifies him through a dedicated email address and tracks each request’s status.
More time to improve the business, not just run it
Ted’s approach to using ChatGPT Work is practical for any small-business owner. He gives ChatGPT the same data and guidelines he’d use to make a decision and compares its output with how he’d do the work himself. As he gains confidence in the results, he expands his use to more tasks around the business, always reviewing the results before implementing.
For Ted, the value of ChatGPT Work goes beyond hours saved. Now he can do analysis he might otherwise skip and spend more time on customers, employees, and growing the business.
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