One-minute narrated stories of a flow at work. The scenarios and figures are illustrative, not customer results.
Food distribution
The challenge. Sara is a field sales rep at a big flour and baking supplies company in Tunis. She sells to bakeries. Every morning she scrolls the map looking for new bakeries. Most are closed, or already buy from someone else. By six, she has made four visits, and two were dead ends. And the new bakery she drove past on Tuesday? A rival signed it yesterday.
The flow. With xMap Flows, Sara built Scout. Every morning at seven, across greater Tunis, Scout finds the bakeries that opened recently, skips the ones already on her books, scores how likely each one is to buy, keeps the best six, plans her route for the day, and sends each one a hello.
The result. At eight, Scout tells her twelve new bakeries opened this week. The best six are on her route, and each one has already heard from her. Sara makes nine visits, every one a real prospect, and she is first through the door. Sara stopped searching for customers. Now she just meets them.
12new bakeries found this week
9real visits a day, up from 4
6hellos sent before she arrives
Blocks: Schedule → Area of interest → Nearby places → Match with my table → Jev decision → Sort and limit → Route planner → Outreach
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Coffee roasting
The challenge. Valentina roasts coffee in a small workshop in Villa Crespo, Buenos Aires. She sells her beans to cafes. The cafes that need her most are the ones serving tired coffee, but she cannot taste her way through the whole city. So she sends samples at random. Most cafes already love their roaster, and her bags end up in the bin.
The flow. With xMap Flows, Valentina built Beacon. Every Tuesday, around Palermo and Villa Crespo, Beacon finds the independent cafes, keeps the ones rated under four with plenty of reviews, skips the ones she has already tried, writes each owner a warm note, and offers them a free tasting on WhatsApp.
The result. This week, Beacon finds nine cafes rated under four. Valentina approves each message from her phone between roasts. Five owners say yes to the tasting, and three switch to her beans before the month is out. Valentina stopped giving coffee away. Now she rescues cafes.
9cafes rated under four
5tastings booked
3new wholesale accounts
Blocks: Schedule → Area of interest → Nearby places → Filter → Only new → xMap LLM → Outreach
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Gelato van
The challenge. Harper sells gelato from a little blue van in Sydney. She has six beaches to choose from, and only one van. Every morning she checks three weather apps and picks a beach on a hunch. Pick a beach under cloud, and the gelato goes home unsold. Last summer she counted eleven days like that, and a whole week of takings melted with them.
The flow. With xMap Flows, Harper built Lighthouse. Every morning at six, Lighthouse reads her six favourite beaches, checks today’s forecast at each one, keeps the dry ones at twenty-six degrees or warmer, puts the warmest first, and sends her the pick on WhatsApp before her coffee.
The result. Today, Lighthouse says Cronulla: thirty-one degrees and no rain, while cloud sits over Manly. Harper drives south, parks by the sand, and sells out by three. This summer she has had two slow days, not eleven. Harper no longer chases the sun. It tells her where to park.
6beaches checked at 6 am
31°Cat today’s pick, no rain
2slow days, down from 11
Blocks: Schedule → My data → Weather forecast → Filter → Sort and limit → WhatsApp Business
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Home bakery
The challenge. Sofia bakes celebration cakes in her kitchen in Chapinero, Bogota. Every single order comes in on WhatsApp. Forty messages a day: prices, flavours, can you deliver to Usaquén on Saturday? She answers with flour on her hands, hours late. By then, half the customers have ordered somewhere else, and the birthday is gone.
The flow. With xMap Flows, Sofia built Anchor. When a customer writes on WhatsApp, Anchor reads the message and answers in Sofia’s own warm way, checks her cakes, prices and delivery days, writes each confirmed order into her order book, and replies in the same chat within a minute.
The result. Today, Anchor answers thirty-eight messages while Sofia bakes. Twelve become orders, each already in her book with the flavour, the date and the address. Sofia reads the book twice a day, once at noon and once at six. Sofia’s hands stay in the dough. Her customers never wait.
38messages answered today
1 minto answer, not hours
12orders in the book
Blocks: WhatsApp Business event → AI agent → My data → Google Sheets → Reply
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Food maker
The challenge. Piotr makes pierogi with his mother in a small kitchen in Warsaw. Sixty corner shops sell them. Orders land in a shared sheet all night. At five in the morning he sorts them for three drivers by hand, guessing who goes where. Drivers cross the river twice, the vans run late, and some shops sell out before the pierogi arrive.
The flow. With xMap Flows, Piotr built Horizon. When the night’s orders land in the sheet, Horizon splits the shops into three fair areas, plans the best route for each driver, sends it to each driver on WhatsApp, and keeps the delivery log up to date.
The result. At five, Piotr’s phone already shows three routes. No driver crosses the river twice. The vans are back by ten instead of noon, and every shop has fresh pierogi before the breakfast rush. Piotr used to plan routes at dawn. Now he folds dumplings.
60shops every morning
2 hless on the road
3routes ready at 5 am
Blocks: New rows → Split by territory → Route planner → WhatsApp Business → Google Sheets
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Street food
The challenge. Faisal owns a coffee truck in Riyadh. Every evening, he parks where he hopes the crowds will be. He picks his spots by habit and by hunch. Some nights the park is empty and he pours twenty cups. Other nights he arrives at ten, and the crowd went home at nine. In summer, the heat keeps everyone inside until late.
The flow. With xMap Flows, Faisal built Spotter. Every afternoon at three, across north Riyadh, Spotter finds the parks, walkways and malls, learns each one’s busiest day and hour, checks tonight’s heat, keeps the three best spots for tonight, and sends them to his phone.
The result. At three on Thursday, Spotter tells him the walkway in Al Malqa is busiest on Thursdays at nine, with twice the crowd of his usual spot, and tonight will be cooler. Faisal parks at eight, and sells out by eleven. Faisal stopped chasing crowds. Now he gets there just before them.
2xthe crowd at his old spot
9 pmthe busiest hour on Thursdays
3spots picked each afternoon
Blocks: Schedule → Area of interest → Nearby places → Mobility Footfall → Weather forecast → Sort and limit → WhatsApp Business
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Payments
The challenge. Madison sells card machines and payment apps to restaurants in Miami, on her own commission. A new restaurant is still trying things in its first weeks, and that is when it switches how it takes payment. Madison drives Little Havana and Wynwood looking for new signs, but most weeks she finds them months late, locked into a rival’s contract.
The flow. With xMap Flows, Madison built Pilot. Every Monday at seven, across Miami, Pilot finds the restaurants and cafes that opened in the last three months, skips the ones it has already sent her, sorts them into cafes, food trucks and full restaurants, keeps the best rated twenty, and emails her the week’s list.
The result. This Monday her list had twenty-six new places, among them nine new cafes in Wynwood. Madison visited the best twenty by Wednesday, every one still in its first months, and signed six of them by Friday. Madison stopped hunting for opening signs. The new places now come to her inbox.
26new places in one week
20visits, all to new places
6signed by Friday
Blocks: Schedule → Area of interest → Nearby places → Only new → Place classifier → Sort and limit → Email
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Shopping malls
The challenge. Paolo leads leasing at a large mall in Bonifacio Global City, in Manila. He has seven empty food units to fill. Every mall chases the same big chains, and they drive hard bargains. The local favourites with queues out the door are harder to find, and nobody on his team has time to eat their way across Metro Manila. The empty units cost the mall every month.
The flow. With xMap Flows, Paolo built Matchmaker. On the first of every month, across Metro Manila, Matchmaker finds the independent restaurants rated four and a half or more, keeps the ones with hundreds of reviews, scores how well each would fit the mall’s food floor, keeps the top fifteen, and sends each owner a first hello, once Paolo approves it.
The result. This month, Matchmaker found forty-two loved local restaurants with a single branch. Paolo’s team met the top fifteen, and three signed, including a family-run lechon place from Quezon City that now has a queue on the second floor. Paolo stopped chasing the chains. Now the city’s favourites come to him.
42loved local restaurants found
15owners met this month
3units signed
Blocks: Schedule → Area of interest → Nearby places → Filter → xMap LLM → Sort and limit → Outreach
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Restaurants
The challenge. Kenji owns a small ramen shop in Calgary’s Beltline. The line goes out the door, so he wants a second one. Three empty storefronts are up for lease, and he has a week to choose. He drives past each one at lunch, counts noodle bars by eye, and guesses who could reach him in a January snowstorm. Pick wrong, and the lease runs five years.
The flow. With xMap Flows, Kenji built Compass. On the first of each month, Compass draws everything within fifteen minutes by car of each storefront, finds the noodle bars, offices and colleges inside, works out the lunch crowd for every rival, puts the best site first, and emails Kenji the answer.
The result. Compass is clear. Kensington has nineteen offices and two colleges within fifteen minutes, and only one ramen shop. Inglewood has six rivals. Kenji signs for Kensington that Friday, and the new shop sells out its first weekend. Kenji stopped driving around to guess. Now he knows where they are hungry.
15 minby car, drawn around each site
19offices near the winner
1rival ramen shop, not 6
Blocks: Schedule → Travel area → Nearby places → Calculated field → Sort and limit → Email
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