One-minute narrated stories of a flow at work. The scenarios and figures are illustrative, not customer results.
Marketing agency
The challenge. Karim is a campaign planner at one of Cairo’s biggest marketing agencies. This month he runs sampling days for a baby food brand. The brand sells in two hundred supermarkets, and he has promoters for fifteen. He picks stores by gut, and by who answers the phone. Last month, a team stood all day in a store where hardly any young families live.
The flow. With xMap Flows, Karim built Abacus. Every Sunday at nine, for each of the brand’s two hundred supermarkets, Abacus counts the young children living within a kilometre, keeps the fifteen stores with the most, writes a line on why each one, and books the sampling days in the team calendar.
The result. Abacus’s fifteen stores have three times the young children around them of last month’s picks. The promoters hand out every sample by two, and Nasr City runs out first. The brand books three more months. Karim stopped guessing where the families are. Now the samples run out by two.
15stores picked by data
3xyoung children around them
3more months booked
Blocks: Schedule → My data → Demographics → Sort and limit → xMap LLM → Google Calendar
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Shopping malls
The challenge. Thiago is the marketing director of a group that owns three shopping malls in Sao Paulo. He spends millions on billboards and radio, spread across the whole city, because nobody knows where shoppers really come from. The yearly survey asks two hundred people at the door. By the time it is printed, a new metro line has changed everything.
The flow. With xMap Flows, Thiago built Lodestar. On the first Monday of every month, Lodestar takes his three malls, learns where their visitors come from and how they travel, picks the districts worth advertising in, makes a short report, and sends it to the media agency.
The result. This month, Lodestar shows that one in three visitors to the mall in Itaim come from Pinheiros and Vila Olimpia, and most arrive by car. Thiago moves half his billboards to those two districts, and puts a parking offer in every ad. Thiago stopped advertising to the whole city. Now he talks to his own shoppers.
1 in 3visitors from two districts
50%of billboards moved
3malls measured every month
Blocks: Schedule → My data → Mobility Footfall → xMap LLM → Make a report → Email
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Outdoor advertising
The challenge. Catalina is sales director at one of Chile’s largest billboard companies. She has sixty boards across Santiago to fill. Her team sells by calling the same big brands every quarter. Meanwhile a gym chain opens three branches beside their boards and books a rival’s screens. And nobody can tell a client which boards drivers sit in front of the longest.
The flow. With xMap Flows, Catalina built Spotter. Every Monday at eight, for each of her sixty boards, Spotter finds the brands that opened a branch within a kilometre, measures how slowly the traffic moves past it, writes why each brand should take that board, keeps the ten best matches, and turns them into slides for the sales meeting.
The result. On Monday, Spotter finds twenty-four brands that opened beside her boards. The best ten are on the slides, each with the road speed outside. Catalina’s team calls brands it had never thought of, and books four boards that week. Catalina stopped selling empty boards. Now she sells the brand next door.
24brands opened beside her boards
10pitches ready on Monday
4boards booked that week
Blocks: Schedule → My data → Nearby places → Traffic Flow → xMap LLM → Sort and limit → Make a report
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Public relations
The challenge. Larissa heads media monitoring at one of Sao Paulo’s largest PR agencies. She looks after forty brands. Every morning three interns read the news sites for clients’ names. A bad story posted at nine reaches the account team at three, after the client’s chief executive has seen it. Most days they read four hundred stories to find six.
The flow. With xMap Flows, Larissa built Echo. Every fifteen minutes, Echo reads Brazil’s main news feeds, keeps the stories it has not seen, picks out the ones that name a client, with its account lead, judges whether each is good or bad news, and posts it to that client’s team.
The result. A critical story about a client’s factory goes up at twelve past nine. By half past, the account team has it, marked bad news, and a statement is out by ten. The interns now write coverage reports instead of reading. Larissa’s clients used to call her with the news. Now she calls them first.
18 minfrom story to account team
40brands watched
6stories that matter, a day
Blocks: Schedule → News → Only new → Match with my table → xMap LLM → Slack
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Sneakers and streetwear
The challenge. Wei Ling leads retail marketing for a sneaker brand in Singapore. Every month she opens a pop-up store for a new drop. Choosing the spot is a gamble. Her team walks the malls, takes photos, and argues for a week. The last pop-up sat in a quiet corner of a brand new mall, and half the stock went back to the warehouse.
The flow. With xMap Flows, Wei Ling built Watchtower. On the first Monday of every month, from Orchard Road to Tampines, Watchtower finds the malls and food halls, keeps the ones with a high traffic score where people stay longest, picks the top five, explains why each one fits the drop, and turns it all into slides for the team.
The result. This month, Watchtower ranks five spots, with Bugis on top: people there stay well over an hour. The team agrees in one meeting instead of five. The pop-up sells out in nine days, a week faster than the last one. Wei Ling’s team stopped arguing about corners. Now they argue about restocking.
5spots ranked each month
1meeting, not five
9 daysto sell out the drop
Blocks: Schedule → Area of interest → Nearby places → Filter → Sort and limit → xMap LLM → Make a report
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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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