One-minute narrated stories of a flow at work. The scenarios and figures are illustrative, not customer results.
City traffic
The challenge. Rafael is a traffic officer in Sao Paulo. On match days, the roads around the stadium in Morumbi are his. Sixty thousand fans arrive in two hours. One forgotten roadworks site can block an avenue, and he usually finds it at kick off, from a helicopter feed. Then it is too late to send a crew.
The flow. With xMap Flows, Rafael built Radar. On match days at nine, within three kilometres of the stadium, Radar finds every closure and roadworks site, keeps the roadworks, writes a work order for each, sends them to the crew chief, and pins them on the match day map.
The result. On Sunday, Radar found four roadworks sites at nine in the morning. Crews cleared three by noon, and the fourth was coned into one lane. The fans reached their seats, and Rafael watched the second half. Rafael used to find the roadworks at kick off. Now they are gone by lunch.
9 a.m.roads checked on match day
4roadworks sites found
3cleared before noon
Blocks: Schedule → Area of interest → Traffic incidents → Filter → xMap LLM → WhatsApp Business → Show on a map
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Boat tours
The challenge. Lucas runs sailing trips for tourists from the port of Buceo in Montevideo. Two boats, eight guests each. The wind on the river can turn in an afternoon. Lucas checks four weather sites every night and still gets it wrong. Last month he cancelled at the pier, with sixteen guests already in life jackets. Six asked for refunds, and left reviews to match.
The flow. With xMap Flows, Lucas built Lookout. Every afternoon at five, Lookout reads tomorrow’s bookings, checks the wind at the pier, asks if it is too strong to sail, picks the next calm day if it is, offers it to those guests on WhatsApp, and tells everyone else to bring sunscreen.
The result. On Thursday, Lookout sees gusts of forty-five kilometres an hour for the morning trip. By six, all eight guests have moved to Saturday, and seven of them said thank you. The afternoon trip sails full. Lucas still can’t change the wind. Now he just knows it a day early.
8 of 8guests moved a day ahead
0cancellations at the pier
7thank-you messages
Blocks: Schedule → My data → Weather forecast → Branch → xMap LLM → WhatsApp Business
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Group travel
The challenge. Ines is a freelance travel planner in Lisbon. Companies send her their conference groups, from twenty to two hundred people. Each new request lands in a shared Excel sheet. Ines then spends a whole day finding hotels near the venue, checking ratings and walking times. Clients want a proposal within hours. Last month, she lost two groups to a big agency that answered first.
The flow. With xMap Flows, Ines built Tempo. When a client adds a request to the sheet, Tempo draws a fifteen-minute walk around the venue, finds the hotels inside it, keeps the ones rated four or more, picks the best ten, writes the proposal, lets Ines check it, and sends it from her own address.
The result. On Wednesday at ten, a bank adds a group of one hundred and forty for a conference in Belem. By half past ten, Ines has checked the proposal: nine hotels within a fifteen-minute walk, all rated four or more. The bank books by lunch. Ines still works alone. She just answers like an agency of twenty.
30 minfrom request to proposal
9hotels within a 15-minute walk
140guests booked by lunch
Blocks: Microsoft Excel 365 event → Travel area → Nearby places → Filter → Sort and limit → xMap LLM → Approval → Microsoft Outlook
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Event catering
The challenge. Youssef runs operations at one of Casablanca’s biggest catering firms. Every week they serve thirty weddings and parties in garden villas. Most are outdoors. When the Atlantic wind picks up or rain rolls in, his team scrambles for tents at double the price. Last June, a storm soaked a wedding of four hundred guests in Anfa, and that family has not booked them since.
The flow. With xMap Flows, Youssef built Planner. Every morning at six, Planner reads this week’s events, checks the forecast at each venue three days ahead, asks whether rain or strong wind is coming, warns the client and the tent crew on WhatsApp, and marks the rest as planned in the prep sheet.
The result. On Tuesday, Planner sees gusts of fifty kilometres an hour coming on Saturday in Ain Diab. Youssef has three days, not three hours. The tent comes at the normal price, the guests stay dry, and the bride’s mother sends him flowers. Youssef still cannot stop the wind. He just sees it coming three days early.
30events checked every day
3 daysof warning, not 3 hours
0soaked guests
Blocks: Schedule → My data → Weather forecast → Branch → WhatsApp Business → Google Sheets
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Events
The challenge. Amara is events director at one of Dakar’s largest event agencies. Her team runs outdoor weddings and launches along the Corniche. In the rainy season, a storm can wash out an event in an hour. Today she checks the weather the night before and phones every supplier in a panic. Twice this year, the tents arrived after the guests.
The flow. With xMap Flows, Amara built Sentinel. Two days before each event in the team calendar, Sentinel looks up the venue in her table, checks the forecast for that day, and if rain or strong wind is coming, writes a plan B, posts it to the crew, and books a tent check the day before.
The result. On Thursday, Sentinel sees a storm coming for Saturday’s beach wedding in Ngor. The crew has the plan B by noon, the tents are up on Friday, and the bride never knows. This season, not one event has been rained out. Amara still can’t stop the rain. She just sees it coming two days early.
2 dayswarning before each event
0events rained out
1message to the whole crew
Blocks: Google Calendar event → Match with my table → Weather forecast → Branch → xMap LLM → Slack → Google Calendar
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